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AI Jobs Job at Saragossa
Private Equity Data & AI Engineer | Up to $400K
Saragossa is hiring a Private Equity Data & AI Engineer to design and deploy AI products. The role offers a competitive salary of $300K–$400K and requires experience in AI systems and Python.
www.linkedin.com • • United States • 300K–400K a year -
AI Jobs Job at CACI
AI/ML Data Scientist Intern - Summer 2026
CACI is hiring an AI/ML Data Scientist Intern for Summer 2026 in Colorado Springs, CO. The role involves developing data pipelines and supporting AI/ML initiatives for national security.
searchcareers.caci.com • • Colorado Springs, CO -
AI Jobs Job at McKinsey & Company
Senior Data Scientist - Scientific AI
Your Growth Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your ImpactYour role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey’s scientific AI offering. As a Senior Data Scientist, you will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm’s reputation in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders. You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. You’ll be working in one of our offices in North America in our Life Sciences practice. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a Senior Data Scientist in a technology development and delivery capacity. You will be on McKinsey’s global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). In this role you will support the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. There is flexibility to hire at the Senior Data Scientist I or II level, depending on your experience. Your qualifications and skills • Master’s degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research • Experience in client delivery with direct client contact • Proven experience applying machine learning techniques to solve business problems • Proven experience in translating technical methods to non-technical stakeholders • Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) • Experience with version control (GitHub) • ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision • Ability to write production code and object-oriented programming
www.mckinsey.com • • Seattle, WA (+14 others) -
AI Jobs Job at Keysight Technologies
Machine Learning Engineers
Machine Learning Engineer Keysight Technologies MIN $135,150.00 • MAX $1225,250. 00 paid holidays, tuition reimbursement, flex time, 401(k) United States, Colorado, Colorado Springs Jan 12, 2026 Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact. Responsibilities 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domain's business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications Required: 4-6 years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems. Careers Privacy Statement • Keysight is an Equal Opportunity Employer. • California Pay range: MIN $145,970.00 • MAX $266,930.00 Colorado pay range: MIN $135,150.00 • MAX $1225,250.00 District of Columbia pay range: MIN $135,150.00 • MAX $1225,250.00 Hawaii pay range: MIN $135,150.00 • MAX $1225,250.00 Illinois pay range: MIN $135,150.00 • MAX $1225,250.00 Maryland pay range: MIN $135,150.00 • MAX $1225,250.00 Massachusetts pay range: MIN $145,970.00 • MAX $243,280.00 Minnesota pay range: MIN $135,150.00 • MAX $1225,250.00 Jersey City pay range: MIN $145,970.00 • MAX $243,280.00 York pay range: MIN $160,160.00 • MAX $266,930.00 Vermont pay range: MIN $135,150.00 • MAX $1225,250.00 Washington state pay range: MIN $145,970.00 • MAX $243,280. 00 Note: For other locations, pay ranges will vary by region US Employees may be eligible for the following benefits: Medical, dental and vision Health Savings Account Health Care and Dependent Care Flexible Spending Accounts Life, Accident, Disability insurance Business Travel Accident and Business Travel Health 401(k) Plan Flexible Time Off, Paid Holidays Paid Family Leave Discounts, Perks Tuition Reimbursement Adoption Assistance ESPP (Employee Stock Purchase Plan) Restricted Stock Units
tallo.com • • Colorado Springs, CO • 255,105 a year -
AI Jobs Job at Pacific Northwest National Laboratory
Data Scientist 2 - Data Science and Machine Intelligence
Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. But our most important resource is our people—experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security. Responsibilities The Data Sciences & Machine Intelligence group in the Advanced Computing, Mathematics, and Data Division at PNNL seeks a data scientist to join the group to lead and support scientific research in the broad areas of data science, artificial intelligence (AI) and machine learning (ML) with a focus on advancing natural language processing (NLP) and data science for scientific domains. This is an excellent opportunity to develop your scientific career in an outstanding research institution by joining an interdisciplinary research team that focuses on accelerating scientific discovery. The emphasis of this position will be growing existing and crafting new capabilities in the areas of AI, scientific machine learning and NLP to strengthen the group’s leadership position in data science and machine intelligence. A successful candidate will have demonstrable expertise in the broad areas of data science and NLP such as: (i) building and evaluating language and multimodal agentic systems (ii) cloud deployment of agentic systems. We are looking for a proactive, highly motivated individual with an aptitude for contributing on multi-disciplinary teams, and an interest in natural sciences. A Data Scientist 2 designs, develops, and implements methods, processes, and systems to analyze diverse data. Applies knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. Produces solutions driven by exploratory data analysis from complex and high-dimensional datasets. Designs, develops, and evaluates predictive models and advanced algorithms that lead to optimal value extraction from the data. Demonstrates ability to transfer skills across application domains. Qualifications Minimum Qualifications: • BS/BA and 2 years of relevant experience -OR- • MS/MA -OR- • PhD Preferred Qualifications: • PhD in Data Science, Computer Science, Electrical and Computer Engineering, or a closely related field. • Demonstrable experience in conducting scientific exploration and research through artifacts such as scientific publications in top tier venues (*ACL, EMNLP, AAAI, NeurIPS, ICLR, LREC, etc.) and publicly released datasets and/or software tools. • Architect and build multistep LLM agent systems for scientific domains. • Develop reliable tool use and function calling interfaces that enable agents to interact safely and predictably with internal APIs, databases, external services, and code execution environments. • Design and execute evaluation benchmarks that measure task completion rates, faithfulness, hallucination frequency, and latency under realistic production workloads. • Create customized agent harnesses, including enhancements to agent memory and inter agent communication. • Solid knowledge of core skills in data science and machine learning, including data/information curation from large unstructured data in the form of PDFs (text, image). • Proficiency in computer science engineering skills. • Experience in a production grade deployment team is a big plus, especially with applications in a cloud environment (AWS, Azure, VertexAI). Hazardous Working Conditions/Environment Not Applicable Testing Designated Position This is not a Testing Designated Position (TDP). About PNNL Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence and Equal Employment Opportunity Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov. Drug Free Workplace PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn. Security, Credentialing, and Eligibility Requirements As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. Mandatory Requirements Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. Rockstar Rewards Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year. • Research Associates excluded. • *All benefits are dependent upon eligibility. Click Here For Rockstar Rewards Notice to Applicants PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. Minimum Salary USD $114,000.00/Yr. Maximum Salary USD $182,100.00/Yr.
careers.pnnl.gov • • United States -
AI Jobs Job at USAA
Machine Learning Data Scientists
USAA is seeking a Machine Learning Data Scientist Lead in Colorado Springs, CO, to oversee AI/ML modeling solutions, mentor staff, and collaborate on business needs. The role requires extensive experience in predictive analytics and offers a salary of $239,870 per year.
tallo.com • • Colorado Springs, CO • 239,870 a year -
AI Jobs Job at Zions Bancorporation
AI Engineer (Data Scientist)
Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today. We are looking for an **AI Engineer** to design, build, and deploy production grade AI solutions. This is an engineering first role focused on applying Generative AI, machine learning, and good software practices to build scalable and reliable AI services. This **AI Engineer** will work closely with product, data, and platform teams, as well as business stakeholders, to deliver end-to-end AI solutions-from development and deployment through monitoring and continuous improvement. • *Responsibilities:** + Design, build, and deploy AI solutions, including Generative AI and machine learning models, to solve real business problems. + Develop agentic AI systems using LLM orchestration frameworks (e.g., LangChain, LangGraph, or similar). + Develop and maintain production-ready AI services and components with attention to performance, reliability, and maintainability. + Collaborate with Data Scientists, product teams, and business stakeholders to translate requirements into scalable AI and ML solutions. + Build and maintain AI/ML pipelines covering data ingestion, prompt engineering, model inference, evaluation, and monitoring. + Implement and follow MLOps best practices, including CI/CD, versioning, observability, and model and prompt lifecycle management. + Work with both structured and unstructured data, including integration with relational databases and vector databases for retrieval augmented generation (RAG). + Communicate effectively with both technical and non-technical stakeholders, including senior leadership. • *Qualifications:** + Bachelor's degree in Computer Science, Engineering, or a related technical field plus 2+ years of relatable experience. Master's degree is a plus. A combination of education and experience may meet qualifications. + Strong software engineering background with experience contributing to production systems. + Excellent Python programming skills, including experience with async programming and API development (FastAPI, Flask, or similar). + Hands‑on experience building Generative AI / LLM‑based applications in production environments. + Familiarity with LLM orchestration and agentic AI frameworks (e.g., LangChain, LangGraph, or similar concepts). + Familiarity with ML frameworks such as PyTorch/scikit‑learn. + Experience integrating vector databases and search/index systems for AI applications. + Good understanding of prompt engineering, model evaluation, and inference optimization. + Experience deploying AI/ML solutions on cloud platforms (GCP preferred; Azure or AWS). + Working knowledge of MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management. + Strong problem solving skills and the ability to communicate clearly with both technical and nontechnical stakeholders. + Comfortable working in a collaborative, fast-moving environment and owning deliverables end-to-end. + Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus. + Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus. • *Location:** This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047 The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: + Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station. + At least 75% of the building is powered by on-site renewable solar energy. + Access to outdoor recreation, parks, trails, shareable bikes and locker rooms. + Large modern cafe with a healthy and diverse menu. + Healthy indoor environment with ample natural light and fresh air. + LEED-certified sustainable building that features include the use of low VOC-emitting construction materials. • *Benefits:** + Medical, Dental and Vision Insurance - START DAY ONE! + Life and Disability Insurance, Paid Parental Leave and Adoption Assistance + Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts + Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays + 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience + Mental health benefits including coaching and therapy sessions + Tuition Reimbursement for qualifying employees + Employee Ambassador preferred banking products • *Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.** • *Req ID:** Equal Opportunity Employer It is the policy of this corporation to provide equal employment and advancement opportunities to all employees and applicants for employment, without regard to race, color, religion, age (40 and over), sex, pregnancy, gender, disability, national origin, ethnic background, citizenship, veteran status, sexual orientation, gender identity and expression or any other characteristic protected by applicable law. This policy is established and administered in accordance with all applicable federal, state, and local laws. If you are an individual with disabilities who needs accommodation, or you are having difficulty using our website to apply for employment, please contact us at , Mon.-Fri. between 9 a.m. - 5 p.m. MST. Click here to view applicable Federal, State and/or local employment law posters.
www.whatjobs.com • • Maeser, UT -
AI Jobs Job at PMAT
Senior Machine Learning Engineer (Op AI) - TS clearance Colorado Springs, CO
Salary: $165,000.00 - $195,000.00 negotiable This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Responsibilities: • Design, develop, and implement machine learning models and algorithms for naval applications. • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments. • Perform data preprocessing, feature engineering, model evaluation, and validation. • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. • Contribute to distributed computing and parallel processing approaches to optimize ML model performance. • Participate in CI/CD pipeline development, automation, and DevSecOps workflows. • Apply cybersecurity principles in the design and deployment of machine learning systems. • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards. • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: • Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. • Strong programming skills in Python. • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes). • Familiarity with software engineering best practices, including Git. • Strong programming skills in Java, C++, Go, or Rust. • Strong analytical, problem-solving, and communication skills. • Ability to work effectively in a collaborative team environment. • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs. • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions. • Ability to perform activities on a recurring basis during shipboard operations or testing evolutions. • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE). • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with distributed computing and parallel processing. • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins). • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. • Experience with cloud-native architecture and software API design. • Experience integrating machine learning into operational DoD systems or edge computing environments. • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments. • Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred). Education and Certification Requirements: • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus Citizenship and Clearance Requirements: • US Citizenship • No dual citizenship • Active DoD TS clearance required • Active DOD TS SCI preferred Location: • On site, AIR FORCE TENCAP, COLORADO SPRINGS, CO Travel: • Travel required up to 15% Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ
www.ziprecruiter.com • • Colorado Springs, CO • 165K–195K a year -
AI Jobs Job at UP.Labs
Sr Data Scientist /Machine Learning Engineer
Overview UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups. Technical Challenge As a Data Scientist, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets and build predictive models that drive strategic decision-making. You will work with cutting-edge technologies to develop data-driven solutions that power our portfolio of mobility-focused ventures. Responsibilities • Design, develop, and deploy machine learning models and data science solutions to solve complex business problems across our venture portfolio • Build and maintain scalable data pipelines and analytics infrastructure using Python and Azure cloud services • Implement generative AI solutions and integrate large language models into products to enhance user experiences and automate workflows • Collaborate with cross-functional teams to translate business requirements into technical data science solutions • Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high-quality, production-ready solutions Required Skills • Strong expertise in data science and machine learning methodologies, with demonstrated ability to build and deploy models in production environments • Advanced proficiency in Python programming for data analysis, machine learning, and automation • Solid experience with generative AI technologies and frameworks, including prompt engineering and LLM integration • Working knowledge of Microsoft Azure cloud platform for deploying and scaling data science solutions • Experience with modern data science libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar tools • Strong understanding of statistical analysis, time series analysis, experimental design, and data visualization techniques Preferred Skills • Experience with geospatial analysis using tools such as ESRI ArcGIS products or geopandas UP.Labs Summary We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies. We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture's life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. Location: Remote
jobs.gem.com • • Anywhere -
AI Jobs Job at Neural Tech Systems Inc.
Remote AI / Machine Learning Engineer 2026 | USA High Salary Work From Home | SMQuizWorld – Free Quiz, Mock Tests, Jobs, Typing Test 2025
Apply for Remote AI & Machine Learning Engineer Jobs in USA 2026. High salary USD 110k–160k, fully remote, global candidates welcome, Generative AI & Deep Learning roles.
smquizworld.com • • United States • 110K–160K a year -
AI Jobs Job at GEOSPACE
Senior Data Scientist - AI / Machine Learning
GEOSPACE is hiring a Senior Data Scientist specializing in AI and Machine Learning. The role involves developing AI/ML pipelines and models, with a salary range of $175k - $210k in a hybrid work environment.
www.linkedin.com • • United States • 175K–210K a year -
AI Jobs Job at HPE
AI Data Foundation Research Engineer
HPE is seeking an AI Data Foundation Research Engineer in Fort Collins, CO. The role involves developing AI methods and models, requiring a PhD and relevant experience in machine learning and data engineering.
careers.hpe.com • • Fort Collins, CO -
AI Jobs Job at CACI
Senior Data Scientist / AI Machine Learning Research Engineer
Job Title: Senior Data Scientist / AI Machine Learning Research Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 1/1/2100 The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain. Responsibilities: 1\. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries. 2\. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing. 3\. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment. 4\. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). 5\. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles. Qualifications: Required: • Master’s degree in quantitative field with mathematical underpinnings and at least 5 years’ experience. • Experience developing models,. • Strong background in machine learning, mathematics and statistics. • Comfortable using Linux operating systems and commonly used Linux utilities. • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract • Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph Desired: • Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics. • Experience applying machine learning to signal processing and/or other time-series data analysis applications. • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests. • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance. • Active Top Secret/SCI clearance preferred. - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
searchcareers.caci.com • • Denver, CO -
AI Jobs Job at Workday
Principal Machine Learning Engineer(GenAI)
Workday is seeking a Principal Machine Learning Engineer to join their Adaptive Planning team in Boulder, CO. The role involves designing AI workflows for financial planning and requires extensive experience in data science and machine learning.
www.linkedin.com • • Boulder, CO -
AI Jobs Job at YouGov
[Remote] Data Scientist/AI Engineer (Remote)
Note: The job is a remote job and is open to candidates in USA. YouGov is a global team focused on making people's opinions heard for the benefit of communities. They are seeking a talented Data Scientist/AI Engineer to design and build AI-driven tools for market research, working with complex datasets and collaborating with various teams to deliver insights. Responsibilities • Design and build AI-powered applications to analyze, summarize, and generate insights from survey data • Develop and optimize prompts and chains • Build applications to simplify analytics and improve the efficiency of data processing • Work with structured and unstructured data • Collaborate with data analysts, product managers, UI designers, and software developers to create great products • Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics • Stay up to date with recent developments in AI and machine learning, including LLMs, embeddings, and RAG pipelines Skills • Master's or PhD in data science or related field • Hands-on experience in data science roles • Proficiency in Python and/or R for data analysis, modelling, and visualization • Experience working with LLM APIs and building LLM-based applications and frameworks • Experience with natural language processing, including topic modelling, text classification, and summarization • Ability to write clean, maintainable, well-documented code Benefits • Paid vacation, holidays and sick days • Flexible working arrangement available • Group medical, dental and vision insurance • Company-paid life and disability insurance • Paid parental leave • 401(k) with company match Company Overview • YouGov is a data and analytics group that enables companies to explore, plan, activate, and track marketing activities. It was founded in 2000, and is headquartered in New York, New York, USA, with a workforce of 1001-5000 employees. Its website is https://business.yougov.com. Company H1B Sponsorship • YouGov has a track record of offering H1B sponsorships, with 4 in 2024, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.
jobright.ai • • Anywhere • 152K–174K a year -
AI Jobs Job at R Systems, Inc.
Junior AI/ML Analytics Engineer (In-person Interview must)
Position: Junior AI/ML Analytics Engineer Location: Denver, CO (Locals Highly Preferred) Duration: Long Term Interview: Internal Video Screening----> Client Webex Interview ----> Final In person Interview with Client About R Systems: R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet. Company Link: Job Requirement: Brief Job Summary/ Role Description: The Jr.AI Analytics Engineer will design and optimize AI/ML models to enhance Client's decision-making capabilities. This role involves creating scalable solutions, managing data pipelines, and integrating advanced analytics into business processes. The ideal candidate will have expertise in machine learning, data engineering, and Client's objectives. Additionally, they will leverage Large Language Models (LLMs) for natural language processing, improving customer interactions and automating content generation. Staying updated on LLM advancements to innovate solutions that align with Client's goals is essential. Technical Skills: • Strong proficiency in machine learning and data engineering 2. Expertise in developing and deploying AI/ML models 3. Experience with Large Language Models (LLMs) and natural language processing 4. Proficiency in programming languages such as Python or R 5. Advanced SQL skills for data manipulation and querying 6. Familiarity with data pipeline tools and frameworks 7. Ability to collaborate with cross-functional teams 8. Strong problem-solving and analytical skills 9. Knowledge of cloud platforms and services 10. Understanding of Client's business objectives and strategy 11. Robust prompting strategies and results validation. Good to Have: • Call Center Experience 2. Telecommunication / Cable experience. 3. Agile 4. React and interface experience. 5. Experience in sentiment analysis and text analytics 6. Knowledge of AI-driven automation tools 7. Experience with AI model interpretability and explainability. 8. Understanding of data privacy regulations related to AI 9. Graph Analytics: Employing graph-based models to analyze relationships and patterns in complex networks. 10. Natural Language Processing (NLP) Advances: Utilizing state-of-the-art NLP for sentiment analysis, chatbots, and language translation. 11. Explainable AI (XAI): Enhancing transparency by making AI model decisions understandable to humans. 12. Graph Analytics: Employing graph-based models to analyze relationships and patterns in complex networks. 13. Automated Machine Learning (AutoML): Streamlining model development by automating feature selection, model selection, and hyperparameter tuning. Other Skill combination requirement: • Excellent communication skills and ability to present to an executive audience. 2. Critical Thinking: Ability to analyze complex problems and develop innovative solutions. 3. Collaboration: Teamwork skills to work effectively with diverse groups. 4. Adaptability: Flexibility to adjust to new challenges and technologies. 5. Project Management: Capability to manage projects, meet deadlines, and ensure quality. 6. Leadership: Ability to guide teams and projects towards successful outcomes. 7. Problem-Solving: Skill in identifying issues and implementing practical solutions. 8. Time Management: Efficiently managing time and resources to maximize productivity. 9. Cultural Awareness: Understanding and respecting diversity in a global work environment. 10. Ethical Judgment: Commitment to ethical practices and data privacy. 11. Mentor and support junior analyst on AI / ML practices. Education & Years of Experience: • 5 to 8 years working experience in Data Analytics, AI /ML / Development. • Bachelors Required / Masters or PHD preferred. Why Join R Systems? • Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp. • Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community. • Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands. • Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path. • E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills. • Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment. If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you! R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits. #LI-RC1
www.dice.com • • Denver, CO -
AI Jobs Job at R Systems
Artificial Intelligence Engineer
Job Description: Required 3 to 6 years of experience. In-person Interview required at Denver, CO office MAJOR DUTIES AND RESPONSIBILITIES • The AI Analytics Engineer will design and optimize AI/ML models to enhance Client's decision-making capabilities. This role involves creating scalable solutions, managing data pipelines, and integrating advanced analytics into business processes. The ideal candidate will have expertise in machine learning, data engineering, and client's objectives. • Additionally, they will leverage Large Language Models (LLMs) for natural language processing, improving customer interactions and automating content generation. Staying updated on LLM advancements to innovate solutions that align with client goals is essential. Required Skills/Abilities and Knowledge • Strong proficiency in machine learning and data engineering • Expertise in developing and deploying AI/ML models • Experience with Large Language Models (LLMs) and natural language processing • Proficiency in programming languages such as Python or R • Advanced SQL skills for data manipulation and querying • Familiarity with data pipeline tools and frameworks • Ability to collaborate with cross-functional teams • Strong problem-solving and analytical skills • Knowledge of cloud platforms and services • Understanding of Client's business objectives and strategy • Robust prompting strategies and results validation. PREFERRED QUALIFICATIONS Preferred Skills/Abilities and KnowledgeGood to have but not a blocker: • Call Center Experience • Telecommunication / Cable experience. • Agile • React and interface experience. • Experience in sentiment analysis and text analytics • Knowledge of AI-driven automation tools • Experience with AI model interpretability and explainability. • Understanding of data privacy regulations related to AI • Graph Analytics: Employing graph-based models to analyze relationships and patterns in complex networks. • Natural Language Processing (NLP) Advances: Utilizing state-of-the-art NLP for sentiment analysis, chatbots, and language translation. • Explainable AI (XAI): Enhancing transparency by making AI model decisions understandable to humans. • Graph Analytics: Employing graph-based models to analyze relationships and patterns in complex networks. • Automated Machine Learning (AutoML): Streamlining model development by automating feature selection, model selection, and hyperparameter tuning. Preferred Education3+ years working experience in an data, analytics, AI /ML / Development. Bachelors Required / Masters or PHD preferred.
www.linkedin.com • • Denver, CO • 45–60 an hour -
AI Jobs Job at City of Hope
Data Scientist - Remote
Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. • * This is a Fully Remote Opportunity within the United States** As a successful candidate, you will: The Data Scientist will design, develop, and deploy advanced machine learning and artificial intelligence solutions to support cancer research and clinical operations. This role integrates data science, AI engineering, and ML systems development, including deep learning architectures and large language model (LLM) applications such as retrieval-augmented generation (RAG), agent-based systems, and domain-specific model adaptation. The position also involves development of multimodal AI models that integrate structured clinical data, unstructured text, medical imaging, and genomic data. The role requires advanced theoretical and applied knowledge in machine learning, distributed systems, and modern AI frameworks. • Collaborate with administrative leaders, clinicians and IT specialists • Query large datasets from multiple systems • Design, develop, validate, and deploy machine learning and deep learning models, including transformer-based architectures, multimodal neural networks, and large language model (LLM) systems • Architect, deploy, and monitor production-grade AI systems, including LLM-based RAG pipelines, agent frameworks, and multimodal inference systems in cloud or distributed environments. • Produce technical documentation, visualizations and presentations • Lead technical design and implementation of complex AI initiatives involving cross-functional research, clinical, and engineering teams. • Completes own work independently • Design multimodal AI solutions integrating text, imaging, genomic, and structured clinical data using deep learning and transformer-based models. • Performs other related duties as assigned or requested. Your qualifications should include: • Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Bioinformatics, Engineering, or a closely related quantitative field ; or Bachelor’s degree with 3+ years of experience. Preferred: • Familiarity with a health care environment and EHR data • Familiarity with multimodal data such as genomics and medical images • Background in deep neural networks and Natural Language Processing (NLP) • Familiarity with Cloud services platforms like Microsoft Azure • Experience with Generative AI and Large Language Models (LLMs), including RAG, fine-tuning, embedding models, prompt engineering, and integration into agentic data science workflows. • Proficiency with version control systems (Git) and collaborative development workflows • Awareness of the most recent trends and developments in the Data Science / Machine Learning fields Skills: • Experience with relational databases and SQL queries • Proficient in Python and related data and ML packages • Proficient in standard data science workflows, including training, evaluating/testing, and deploying machine learning and deep learning models • Familiarity with LLM frameworks and packages such as LangChain, LangGraph, for building advanced AI solution • Ability to work independently and use creative approaches to problem-solving • Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models • Experience in data visualization and ability to communicate results to both technical and non-technical audiences • Experience in authoring and contributing to peer-reviewed scientific publications • Experience in completing end to end projects with minimal to no supervision • Experience in being a part of big projects with many internal and external teams involved • Experience managing collaborative data science projects We currently have 4 Openings City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE.
www.cityofhopejobs.org • • United States -
AI Jobs Job at AFLALO
AI Engineer (1-3 years)
AFLALO is seeking an AI Engineer with 1-3 years of experience to help build AI-driven solutions in a remote role. Responsibilities include developing data infrastructure, financial tools, and operational automation.
www.linkedin.com • • United States -
AI Jobs Job at EchoStar
Data Scientist - AI Products
Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. We are seeking a curious and analytical Data Scientist to join our team. You will be responsible for extracting meaning from large datasets, building predictive models, and deploying AI solutions that solve real-world business challenges. The ideal candidate blends high-level mathematical expertise with a deep understanding of business logic to turn "data" into consistent and reproducible insights. Key Responsibilities: • Partner with stakeholders to identify high-impact, feasible opportunities for the AI Office and demonstrate how data science can drive business outcomes • Develop machine learning models for customer segmentation, churn prediction, time series forecasting, user modeling, and lifetime value estimation • Design and deploy GenAI and LLM solutions to automate complex workflows, such as transcript analysis and compliance validation • Transform and analyze large-scale structured and unstructured data (e.g., text, images) to uncover actionable insights • Collaborate with cross-functional teams to build and deploy scalable, cloud-based data science and GenAI solutions; provide technical mentorship • Communicate complex models and findings to both technical and non-technical audiences via dashboards, notebooks, and presentations Skills, Experience and Requirements Education and Experience: • Bachelor’s in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field • 2-4+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions • Hands-on experience with AWS cloud environments and enterprise-scale Data & AI platforms like Databricks and Snowflake • Experience with big data tools such as Amazon Redshift, BigQuery, Spark, or Hadoop • Experienced in prompt engineering, model evaluation, and deploying LLMs in production environments, preferred Skills and Qualifications: • Strong foundation in statistical and machine learning techniques, including regression, classification, clustering, neural networks, and ensemble models • Proficient in Python, Scala and SQL for data science workflows; skilled in building and evaluating generative AI and LLM-based solutions • Proficient with ML libraries Scikit-learn, TensorFlow, PyTorch, or XGBoost. • Skilled in processing unstructured data (text, images) using modern ML/DL frameworks • Proven ability to design, run, and analyze A/B tests and controlled experiments • Familiarity with MLOps practices for deploying, monitoring, and maintaining ML/GenAI systems in production • Data engineering skills for preprocessing, cleaning, and transforming large-scale datasets • Soft Skills: Critical thinking, ethical judgment, and strong "data storytelling" ability. • Demonstrated ability to present complex analytical results to both technical and non-technical audiences. Visa sponsorship not available for this role Salary Ranges Compensation: $83,160.00/Year - $137,500.00/Year Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits. The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Qualifications: Education and Experience: • Bachelor’s in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field • 2-4+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions • Hands-on experience with AWS cloud environments and enterprise-scale Data & AI platforms like Databricks and Snowflake • Experience with big data tools such as Amazon Redshift, BigQuery, Spark, or Hadoop • Experienced in prompt engineering, model evaluation, and deploying LLMs in production environments, preferred Skills and Qualifications: • Strong foundation in statistical and machine learning techniques, including regression, classification, clustering, neural networks, and ensemble models • Proficient in Python, Scala and SQL for data science workflows; skilled in building and evaluating generative AI and LLM-based solutions • Proficient with ML libraries Scikit-learn, TensorFlow, PyTorch, or XGBoost. • Skilled in processing unstructured data (text, images) using modern ML/DL frameworks • Proven ability to design, run, and analyze A/B tests and controlled experiments • Familiarity with MLOps practices for deploying, monitoring, and maintaining ML/GenAI systems in production • Data engineering skills for preprocessing, cleaning, and transforming large-scale datasets • Soft Skills: Critical thinking, ethical judgment, and strong "data storytelling" ability. • Demonstrated ability to present complex analytical results to both technical and non-technical audiences. Visa sponsorship not available for this role Education:UNAVAILABLEEmployment Type: FULL_TIME
www.ziprecruiter.com • • Denver, CO • 83,160–137,500 a year -
AI Jobs Job at Xcel Energy
Senior Data Scientist
Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for. Position Summary A Sr Data Scientist leverages advanced data analysis techniques to identify and solve organizational problems with precision. Will partner with business leaders to understand organizational priorities and design and implement scalable data solutions using machine learning, AI techniques, and collaborating with data science peers. Effective collaboration with cross-functional teams is essential for the role to influence and drive data-driven decision-making that aids achieving organizational goals. Core Responsibilities • Leveraging knowledge of techniques and tools that promote effective data analysis to determine the root cause of organizational problems and engineer alternative solutions that resolve these problems with a strong focus on accuracy and precision. • Designing and implementing robust data solutions that are reusable and scalable. • Build resilient data pipelines in cloud environments. • Using exploratory analysis to prepare unstructured data and draw meaningful conclusions. • Leading machine learning projects and modeling initiatives and providing mentorship to junior Data Scientists. • Understanding business context to ensure data relevancy and quality is addressed and considered in work scoping activities. • Identifying and applying appropriate AI techniques. • Measuring and clearly communicating cost/benefit analysis of data projects/ products. • Interpreting results, visualizing output, and communicating data narratives effectively to technical and non-technical stakeholders. • Collaborating with cross-functional teams effectively. Minimum Requirements • Bachelor’s degree in computer science, data science, math, statistics, or related with an analytical concentration. • A minimum of 5+ years of professional data science experience. Preferred • Post graduate degree in data science or a related field. Relevant certifications may be considered in lieu of a post graduate degree in combination with years of experience. (i.e. MLOps, data platform certs, etc.) • Experience with DataBricks (or other cloud-based data platforms) • Familiarity with utility industry and long term load forecasting • Familiarity with time series modeling and propensity modeling As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you’re ready to be a part of something big, we invite you to join our team. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com. Non-Bargaining The anticipated starting base pay for this position is: $112,200.00 to $159,400.00 per year This position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Reimbursement Account, Health Care Reimbursement Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part. In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information. Deadline to Apply: 03/22/26 EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF) All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility. ACCESSIBILITY STATEMENT Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
jobs.xcelenergy.com • • Denver, CO -
AI Jobs Job at Aptonet
Gen AI / Machine Learning Engineer
Gen AI / Machine Learning Engineer (NLP Focus) 📍 Location: Washington, DC (Onsite) 🛂 Work Authorization: Must be authorized to work in the U.S. 🔐 Clearance: Ability to obtain Public Trust or higher (if applicable) Role Overview We are seeking a highly skilled Generative AI / Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) to design, develop, and deploy AI-driven solutions. This role will focus on building scalable ML systems, fine-tuning large language models (LLMs), and implementing NLP pipelines that power enterprise applications. The ideal candidate combines strong theoretical ML knowledge with hands-on engineering experience in modern AI frameworks and cloud-based ML infrastructure. Key Responsibilities • Design, develop, and deploy NLP and Generative AI solutions in production environments • Fine-tune and optimize Large Language Models (LLMs) for domain-specific use cases • Build and maintain ML pipelines for data ingestion, preprocessing, training, and inference • Develop prompt engineering strategies and evaluate model performance • Implement Retrieval-Augmented Generation (RAG) architectures • Work with structured and unstructured text datasets • Conduct model evaluation, error analysis, and performance tuning • Collaborate with data engineers and software teams to integrate AI models into applications • Ensure responsible AI practices including bias mitigation, explainability, and governance • Maintain documentation and contribute to AI best practices and architecture standards Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field • 5+ years of experience in Machine Learning or AI engineering • 3+ years of hands-on experience with NLP • Strong programming skills in Python • Experience with ML frameworks such as: • PyTorch • TensorFlow • Scikit-learn • Experience working with: • Hugging Face Transformers • OpenAI / LLM APIs • LangChain or similar orchestration frameworks • Experience building and deploying models in cloud environments (AWS, Azure, or GCP) • Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) • Strong understanding of: • Embeddings • Tokenization • Text classification • Named Entity Recognition (NER) • Sentiment analysis • Semantic search • Experience with REST APIs and microservices architecture • Familiarity with CI/CD pipelines for ML deployment Preferred Qualifications • Experience with: • RAG architectures • LLM fine-tuning (LoRA, PEFT, etc.) • Distributed training • MLOps tools (MLflow, Kubeflow, SageMaker) • Experience working in regulated or government environments • Exposure to AI governance and compliance frameworks • Experience handling sensitive or classified datasets Nice to Have • Knowledge of reinforcement learning from human feedback (RLHF) • Experience building chatbots, copilots, or AI assistants • Experience with knowledge graphs • Familiarity with Kubernetes and containerization
www.linkedin.com • • United States -
AI Jobs Job at Elios Talent
Applied AI / ML Engineer
🤖 Applied AI / ML Engineer 📍 Remote 💰 $200,000 – $250,000 Base + 20% Bonus + Equity 🚀 About the Opportunity We’re partnering with a high-growth, product-driven technology organization operating in a sector closely aligned with ecommerce and digital marketplace platforms. This team is embedding AI directly into core product experiences — not as a side experiment, but as a revenue-driving engine. They are hiring an Applied AI / ML Engineer who thrives at the intersection of product, engineering, and machine learning — someone who can take models from concept to production and directly influence business outcomes. This is a build-and-ship role. 🎯 The Role As an Applied AI / ML Engineer, you will design, build, and deploy AI-driven systems that optimize conversion, personalization, automation, and operational efficiency. You will work closely with product and engineering teams across modern web architecture (TypeScript, React, Node, AWS, Next.js) to integrate machine learning into live production systems. We are looking for someone fluent in today’s AI ecosystem — LLMs, agents, fine-tuning, embeddings, evaluation frameworks — and capable of translating AI capabilities into scalable product features. 🛠️ What You’ll Build • Production-grade ML systems integrated into live product environments • AI-driven personalization, recommendation, and optimization engines • LLM-powered automation workflows and AI agents • Data pipelines and model evaluation frameworks • Experimentation systems to measure model performance and business impact • Scalable infrastructure within AWS environments 🧠 What We’re Looking For Core Requirements • 5+ years in ML Engineering, Applied AI, or related roles • Strong production experience deploying models, not just training them • Experience working in ecommerce or adjacent digital commerce sectors • Fluency in modern AI tools (LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases) • Strong backend engineering experience (Node.js, TypeScript preferred) • Experience deploying systems in AWS environments • Comfort collaborating with front-end teams working in React / Next.js Technical Stack Exposure • TypeScript • Node.js • React / Next.js • AWS • Python (for modeling and experimentation) • Modern AI tooling and evaluation frameworks Bonus • Experience building AI agents • Experience optimizing conversion funnels through ML • Startup or high-growth company background 💰 Compensation & Benefits • $200,000 – $250,000 Base • 20% Performance Bonus • Equity participation • Fully Remote • High ownership and direct product impact 🌟 Why Join You’ll be joining a team where AI is core to product strategy — not a lab experiment. This is an opportunity to architect and deploy systems that directly influence revenue, growth, and operational scale. If you’re excited by shipping real AI into production and measuring its business impact — this is the kind of role built for you.
www.linkedin.com • • Anywhere • 200K–250K a year -
AI Jobs Job at Turing
Principa Gen AI Engineer - 62043
Location: Onsite – New York City Employment Type: Full Time Experience Level: Senior About Turing Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies. Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers” and recognition from The Information and Fast Company as one of the most innovative companies globally. About the Role Join our GenAI delivery organization to build enterprise-grade AI systems for leading financial clients in NYC. This is a hands-on principal-level engineering role focused on AI agents and production LLM systems. Key Responsibilities • Architect and deploy AI agent systems using LangGraph • Build production-grade RAG systems • Own backend services in Python • Optimize scalable AI workflows • Collaborate cross-functionally with business stakeholders Required Skills • 8+ years of engineering experience • 2+ years hands-on with LLMs and GenAI systems • Strong Python + SQL • LangGraph mandatory • Cloud platform experience • Experience building production AI systems
www.linkedin.com • • United States -
AI Jobs Job at CloudIngest
Data Scientists – AI/ML Engineer
Data Scientists – AI/ML Engineer Must-Have Skills: AI/ML & Deep Learning: • Strong experience with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) • End-to-end model building: data prep, training, evaluation, deployment • Experience with NLP, embeddings, transformer architectures, and LLM fine-tuning GPT / LLM / Agentic AI: • Fine-tuning or prompting GPT-based LLMs • Experience building RAG systems (Retrieval-Augmented Generation) • Knowledge of vector databases • Understanding of agentic frameworks (CrewAI, LangChain agents, AutoGen, etc.) • Developing multi-agent systems with tools, memory, and planning loops • Airflow for workflow orchestration • Docker for containerization • Kubernetes for scalable deployment • CI/CD for model deployment • Model monitoring and drift detection • API development (FastAPI, Flask) • Experience with SQL and NoSQL data stores Must have experience in: • Palantir Foundry (data ingestion, transformations, ontology modeling, analytics workflows) • Snowflake (advanced SQL, performance tuning, analytical schema design) • Building scalable ETL/ELT data pipelines (batch, near real-time) • Data modeling for analytics and reporting (layers) • Working with relational and NoSQL databases • Python for data processing and automation • Data quality, governance, and lineage practices • Unsupervised clustering and classification of structured data in DBMS/files and unstructured data • Creating multi-stage analysis/transformation pipelines like Contour in Palantir Foundry • Distributed data processing frameworks like Spark • Querying using GraphQL, Scalding, etc. • Create apps, reports, dashboards like those in Palantir Foundry • Good to have: • dbt, Airflow, Spark or similar orchestration/processing frameworks • BI & visualization tools (Tableau, Power BI, Looker, etc.) • Streaming data platforms (Kafka/Kinesis) • Cloud platforms (AWS/Azure/GCP) • ML feature engineering or analytics support • Agentic AI skills
us.bebee.com • • United States -
AI Jobs Job at Charter Communicatio
Data Scientist, AI Engineering
Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum. At Spectrum, we keep more than 32 million customers connected across our 41-state footprint. Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for. BE PART OF THE CONNECTION As a Data Scientist, AI Engineering on the Operational Analytics & Insights team, you'll work in a fast-paced, collaborative environment to develop data-driven solutions to Spectrum's business problems. You'll have the unique opportunity to leverage and work with cutting-edge AI technologies, including real-time transcriptions and other advanced AI applications. You'll be empowered to think of new approaches, use analytical, statistical, and programming skills to analyze and interpret data sets, and apply your AI expertise at scale. This role offers an excellent opportunity to lead projects, drive innovative solutions, and further advance your skills and career with Spectrum, all while making a significant impact on our operations and customer experiences. WHAT OUR DATA SCIENTISTS ENJOY MOST Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business Partnering on the design and implementation of statistical data quality procedures for existing and new data sources Communicating complex data science solutions, concepts, and analyses to team members and business leaders Presenting data insights & recommendations to key stakeholders Establishing links across existing data sources and finding new, interesting data correlations Ensuring testing and validation are components of all analytics solutions You'll work in a dynamic office environment. You'll excel in this role if you are a self-starter who can work independently as well as in a team. If you're comfortable presenting data and findings in front of team members & stakeholders and have excellent problem-solving skills, this could be the role for you. WHAT YOU'LL BRING TO SPECTRUM Required Qualifications Experience: Data analytics experience: 3 years; Programming experience: 2 years Education: Bachelor's degree in computer science, statistics, or operations research, or equivalent combination of education and experience Skills: Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling Proficiency in programming languages such as Python and SQL for data analysis and model development. Hands-on experience with Large Language Models (LLMs) (finetuning, retraining, and prompt engineering) Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition Hands-on experience with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, and LLM integration for enhanced information retrieval and generation, GPT, and BERT Preferred Qualifications: Experience: ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries like spaCy or Hugging Face Transformers Skills: Strong understanding of Machine Learning concepts including supervised and unsupervised learning, model training, evaluation, and deployment Abilities: Develop and demonstrated knowledge of deploying ML models in cloud environments (Azure, AWS, or similar) Explain complex AI concepts to non-technical audience This position is not eligible for immigration sponsorship. SPECTRUM CONNECTS YOU TO MORE Dynamic Growth: The growth of our industry and evolving technology owers our employees' careers as they move up or around the company Learning Culture: We invest in your learning, and provide paid training and coaching to help you succeed Supportive Teams: Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed Apply now, connect a friend to this opportunity or sign up for job alerts! #LI-SS5 BDA303 2025-52370 2025 Here, employees don't just have jobs, they build careers. That's why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base... For full info follow application link. EOE, including disability/vets About the Company: Charter Communicatio
www.monster.com • • Colorado Springs, CO -
AI Jobs Job at USAA
Data Scientist Lead - AI/ML
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Data Scientist Lead will work closely with the Data Science Director to ensure that AI/ML modeling solutions are successfully developed and implemented. This will involve supervising multiple projects/initiatives, providing technical expertise, ensuring quality results, and mentor and leading Senior and Junior Data Scientists. Through cross-team collaboration, the lead works to understand business problems to formulate and coordinate AI/ML solutions in the Consumer Lending, Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting mentality and be a subject matter expert in model building, communication, and leadership. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: • Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business. • Leads and conducts advanced analytics leveraging machine learning, simulation, and optimization to deliver business insights and achieve business objectives. • Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. • Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. • Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. • Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts. • Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. • Assists team with translating business request(s) into specific analytical questions, executing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. • Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. • Establishes and maintains best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. • Interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. • Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. • Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: • Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. • 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis. • 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. • 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. • Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). • Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. • Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. • Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. • Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. • Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. • Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc. • Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. • Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. • A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). • Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: • Extensive model building experience (preferably in banking) covering a variety of AI/ML and traditional statistical modeling approaches. • Extensive hands-on experience preparing data and code for modeling. • Experience with the entire model lifecycle, including conceptualization, development, implementation, validation, and ongoing performance monitoring. • Experience working directly with clients, customers, or internal business partners. • Experience leading client or customer relationships and expectations, including senior leadership. Compensation range: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
www.builtincolorado.com • • Anywhere -
AI Jobs Job at CACI International Inc
[Remote] Senior Data Scientist / AI Machine Learning Research Engineer
Note: The job is a remote job and is open to candidates in USA. CACI International Inc is seeking a Senior AI and Machine Learning Research Engineer. In this role, you will apply machine learning and statistics to develop algorithms that solve complex challenges in the RF domain, leveraging your expertise in data science and signal processing. Responsibilities • Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries • Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing • Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment • Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) • Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles Skills • Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience • Experience developing models • Strong background in machine learning, mathematics and statistics • Comfortable using Linux operating systems and commonly used Linux utilities • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract • Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph • Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics • Experience applying machine learning to signal processing and/or other time-series data analysis applications • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance • Active Top Secret/SCI clearance preferred Benefits • Healthcare • Wellness • Financial • Retirement • Family support • Continuing education • Time off benefits Company Overview • At CACI International Inc (NYSE: CACI), our 25,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. It was founded in 1962, and is headquartered in Arlington, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.caci.com.
jobright.ai • • Anywhere • 82K–172K a year -
AI Jobs Job at CACI
Senior Data Scientist / AI Machine Learning Research Engineer Jobs
Job Title: Senior Data Scientist / AI Machine Learning Research Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 1/1/2100 The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain. Responsibilities: 1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries. 2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing. 3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment. 4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). 5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles. Qualifications: Required: • Master's degree in quantitative field with mathematical underpinnings and at least 5 years' experience. • Experience developing models,. • Strong background in machine learning, mathematics and statistics. • Comfortable using Linux operating systems and commonly used Linux utilities. • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract • Must have active Top Secret Clearance with the ability to obtain SCI with Polygraph Desired: • Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics. • Experience applying machine learning to signal processing and/or other time-series data analysis applications. • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests. • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance. • Active Top Secret/SCI clearance preferred. - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
www.clearancejobs.com • • Denver, CO • 82.1K–172K a year -
AI Jobs Job at LEVOLOR
AI Data Scientist
Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. As a member of the Hunter Douglas family of brands, LEVOLOR, Inc. is a leading manufacturer and marketer of custom and sizable window covering products including blinds and shades. LEVOLOR is headquartered in Atlanta, Georgia. Founded in 1911, we are committed to delivering innovative, high quality products to consumers under the most recognized brand in our industry today. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours? Position Overview Hunter Douglas is seeking a highly motivated AI Data Analyst to join our Digital Transformation & Advanced Analytics team. This role is ideal for an analytical and curious individual who is passionate about data, AI, and automation, and who wants to contribute to building the data and insight foundations that power our next-generation AI-driven supply chain and business control towers. As an AI Data Analyst, you'll collaborate closely with Data Scientists, Data Engineers, and business stakeholders to ensure that our AI models, dashboards, and automation tools are built on clean, well-structured, and reliable data. You'll also support the design and testing of AI prompts, assist in developing analytical visualizations, and help operationalize insights across Hunter Douglas's business functions. What you'll do • Collect, clean, and transform structured and unstructured data from multiple internal and external sources to support data science and analytics initiatives. • Develop and maintain data pipelines, ensuring data quality, completeness, and consistency for AI and analytics models. • Collaborate with Data Scientists to prepare training and validation datasets for machine learning and predictive modeling. • Support the creation, testing, and optimization of AI prompts for large language models (LLMs) and generative AI tools. • Assist in building AI-enabled dashboards and control towers that provide real-time visibility into supply chain, operations, and commercial performance. • Perform exploratory data analysis (EDA) to identify patterns, correlations, and opportunities for automation or efficiency gains. • Partner with IT and data engineering teams to document data sources, lineage, and governance standards. • Create and maintain data visualizations and performance metrics to communicate insights effectively to non-technical stakeholders. • Stay informed on emerging AI analytics tools, data management technologies, and visualization techniques, and contribute ideas for innovation. Who you are • Bachelor's degree in data Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, or related quantitative field. • 1–3 years of experience in data analytics, business intelligence, or related technical role (internships or co-op experience welcome). • Strong skills in data manipulation and analysis using tools such as Python, SQL, R, or Power Query. • Experience with data visualization tools such as Power BI, Tableau, or Looker. • Understanding of data wrangling, ETL processes, and relational databases. • Basic familiarity with AI/ML concepts and tools (e.g., prompt engineering, generative AI, or predictive analytics). • Proficiency with Microsoft Excel for data cleaning and modeling. • Strong attention to detail, problem-solving skills, and a curiosity for discovering insights in data. • Excellent communication and collaboration abilities to work with both technical and business teams. Preferred Education, Experience, and Skills: • Experience working in a manufacturing, supply chain, or consumer goods environment. • Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipeline tools. • Exposure to API integration and AI workflow automation tools (e.g., Power Automate, Copilot Studio, or n8n). • Knowledge of AI prompt frameworks and best practices for working with large language models (LLMs). • Understanding of data governance principles and metadata management. • Experience building dashboards or KPIs related to supply chain performance, forecasting, or operations. Master's degree in Business Analytics, Supply Chain, or Technology Management. Travel: • Travel up to 20% may be required for project collaboration and site visits What's in it for you • Annual base salary range: $95000-$125000 • Bonus target range: 20%-25% • Generous benefits package including medical, dental, vision, life, disability • A company culture that prioritizes internal development and professional growth • Time off with pay • 401(k) plan with a degree of employer matching • Paid parental leave • Wellness programs and product discounts Please note, all offers presented to candidates are carefully crafted to ensure market competitiveness, equity, and reflect the individual candidate's education, experience, skills and potential. Hunter Douglas is an Equal Opportunity Employer and complies with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply. #LI-SA1 #L1 - REMOTE By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text "STOP" to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, https://www.hunterdouglas.com/privacy-policy or terms of use https://www.hunterdouglas.com/terms-of-use About the Company: LEVOLOR
www.monster.com • • Broomfield, CO • 95K–125K a year -
AI Jobs Job at Enlyte
Machine Learning Data Scientist Intern
Company Overview At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth. Be part of a team that makes a real difference. Job Description We are seeking passionate graduate-level ML/AI interns to join our Auto Physical Damage (APD) Intelligent Solutions team for Summer 2026 to work on cutting-edge ML/computer vision, generative AI systems, and claims management AI applications, and responsible AI initiatives. You will contribute to real-world projects involving computer vision, NLP, large language models, RAG, multi-agent systems, and AI safety frameworks while gaining hands-on experience with the latest AI innovations shaping our Property & Casualty industry. You will have the opportunity to work on several challenging Machine Learning, Generative as well as Responsible AI problems, including: • Build models at scale using vast amounts of structured and unstructured heterogeneous data. • Ensure high accuracy based on industry’s stringent requirements around precision or recall and with minimum Type I and Type II errors. • Generate predictions for millions of rows of data with high response time, and low latency. • Deal with high data diversity, very high dimensionality, and noisy data. • Integrate Trustworthy Machine Learning, AI ethics, and governance. • Learn about Causal Inference for AI Systems Key Focus Areas • Generative AI & Foundation Models • Design and fine-tune large language models and multimodal AI systems • Implement RAG (Retrieval-Augmented Generation) pipelines and prompt engineering strategies • Work with open-source, open-weights and proprietary LLMs (Nova, Titan, Claude, & Gemini) • Integrate responsible AI & bias mitigation • Conduct fairness audits and bias testing across protected attributes (race, gender, age, license plate etc.) • Implement AI governance frameworks and risk assessment protocols • Develop evaluation metrics for model safety, hallucination detection, and alignment • Agentic AI Systems • Build autonomous AI agents using frameworks like AWS strands, AWS agent core or CrewAI • Design multi-agent orchestration for complex task automation • Create evaluation benchmarks for agent reliability and performance Qualifications Education & Timing • Pursuing a MS/PhD in Computer Science, AI/ML, Data Science, or related field • GPA of 3.5 or higher • Graduating Summer/Fall 2026 or Spring 2027 • Ability to commit 40 hours per week for 12 weeks during the 2026 summer Technical Skills • Foundation in transformers, attention mechanisms, and neural net architectures • Experience with TensorFlow or PyTorch • Proficiency in Python and modern ML ops tools • Coursework in: Deep Learning, NLP, AI Ethics, or Trustworthy AI • Coding assisting tools like GitHub copilot, Cline, and knowledge around using scientific, distributed programming and scripting languages like Python, PySpark and/or Java preferred. • Strong foundation in mathematics, statistics, and machine learning algorithms • Knowledge of Human-AI Interaction Design Preferred Experience • Published research or significant projects in generative AI applications • Contributions to open-source AI safety tools or bias detection frameworks • Familiarity with constitutional AI, RLHF, or interpretability methods • AI ethics certifications or responsible AI coursework Learn more about our Summer Internship Program: https://careers.enlyte.com/internship Benefits Compensation depends on the applicable US geographic market. The expected base pay for this position is $35 per hour and will be based on a number of additional factors including skills, experience, and education. The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. #LI-AP1 #LI-Remote
careers.enlyte.com • • United States -
AI Jobs Job at Visionary Innovative Technology Solutions LLC
Gen AI Developer (Full Time role)
• Strong Data Structures Any Language Code Comprehension Python or Java • Ability to do hands on coding in the interview real time for given scenario with right solution approach • Proficient in Data manipulation and cleansing preprocess large datasets handle missing values perform feature engineering ensure data integrity • AIML Strong NLP Deep Learning Concepts with transformer architecture understanding • LLM fine tuning exposure on one or few leading LLM like Dolly Llama2 or any other
www.linkedin.com • • United States -
AI Jobs Job at 631 Booz Allen Hamilton_United States
Artificial Intelligence & Machine Learning Engineer, Junior
Artificial Intelligence & Machine Learning Engineer, Junior The Opportunity: Machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the next generation of systems. As a machine learning engineer on our team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and subject matter experts to deliver world-class solutions to process data and information to provide near real-time analysis. Your advanced and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy. Join us. The world can’t wait. You Have: Experience in AI, Python programming, and deep learning frameworks such as PyTorch, MXNet, TensorFlow, or Keras, and big data technologies such as Hive, PySpark, Synapse, or Databricks Experience developing Natural Language Processing (NLP), Large Language Model (LLM), or Retrieval-Augmented Generation (RAG) enabled solutions Knowledge of AI-enabled systems Knowledge of AI concepts such as clustering, regression, algorithm selection, and evaluation Ability to address unbounded technical issues Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements HS diploma or GED Nice If You Have: Experience working with API services for serving NLP and analytical models such as Flask or Fast API Experience with DevOps tools such as Docker, K8s, or Gitlab CI/CD Experience with HTML, CSS, and front-end web frameworks Experience with Amazon Web Services (AWS) or Azure AI ML Services such as Bedrock and Sagemaker Experience working in enterprise systems Experience with Data Operations such as analytics, engineering, or platform Knowledge of artificial intelligence principles and practices, including deploying ML models into production Ability to evaluate algorithm performance Bachelor's degree Security+, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,300.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Note: Microsoft Internet Explorer is not fully compatible with Workday and users may experience systems issues with this browser. We recommend that you use one of the following browsers to avoid problems: Google Chrome, Mozilla Firefox, Microsoft Edge, Apple Safari, Opera Browser or Blackberry Browser. If you continue to experience issues, it is sometimes necessary to reset your browser by clearing your cache. About Booz Allen Hamilton Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Know Your Rights Poster Accommodations If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to helpdesk@bah.com. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. Data Privacy For more information on how Booz Allen uses your information, please see our Careers Privacy Policy.
bah.wd1.myworkdayjobs.com • • United States -
AI Jobs Job at Saragossa
High-Impact AI Opportunity at a Leading Private Equity Firm
High-Impact AI Opportunity at a Leading Private Equity Firm This is a rare chance to join a high-visibility AI buildout with strong backing from the President, CEO, and CTO. AI is a core strategic priority, and you’ll have the sponsorship, budget, and influence to make a real impact across the business. The firm is building a dedicated AI team across two divisions and hiring 2 roles, AI Enablement and AI Engineering. Real estate experience is a plus, but not required. Comp Is competitive but based on experience. AI Enablement (Business-Facing AI Lead) • Drive AI adoption across the firm and influence strategy from day one • Evaluate off-the-shelf AI products vs. internal builds and shape deployment • Translate commercial needs into technical execution between business and data teams • Identify workflow opportunities across modeling, forecasting, and planning • Design and influence the firm’s AI architecture • Work closely with leadership and heads of business units Applied AI Engineer • Hands-on role: spin up AI-powered products end-to-end • Integrate LLMs into production systems and develop AI agents • Ensure solutions are practical, usable, and drive real business value • Partner with data engineers to productionize and refine AI workflows Technical Requirements: • Strong Python experience, with hands-on LLM, prompt engineering, and RAG experience • Familiarity with Snowflake, Databricks, vector databases, GraphQL, and ML workflows • Cloud experience (AWS preferred; transitioning to Azure) • Exposure to Cortex AI or similar tools is a plus If you’re excited about shaping the AI strategy at a leading private equity firm and believe you’d be a strong fit for one (or both) of these tracks, I’d love to speak with you.
www.linkedin.com • • United States • 300K–400K a year -
AI Jobs Job at Advanced Micro Devices, Inc
2026 PhD Machine Learning / Artificial Intelligence Engineering Intern/Co-op
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. JOB DETAILS: • Location: Austin, TX; Boxborough, MA; Fort Collins, CO; Longmont, CO,; Fishkill, NY; or Rochester, NY • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term • Duration: • Summer/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026 • Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 – September 11, 2026 • Fall Internship: September 14, 2026 – December 11, 2026 WHAT YOU WILL BE DOING: We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role – • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences • We may assign you to one or more of the following project work - • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products • Fixing and addressing problems with deployed AI to improve user experience • Support AI software teams with roadmap planning, collateral development, and customer engagements WHO WE ARE LOOKING FOR: • You are currently enrolled in a US based University into a PhD degree program majoring in computer science, computer engineering, data science / analytics, or a related field • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply – • Machine learning, data science, computer vision, statistics, and mathematics • Programming in Python, C/C++ • Relational (SQL) and no-SQL databases • Machine learning algorithms and frameworks • Deep learning / AI framework like Pytorch, Tensorflow, Caffe. • Familiarity with cloud (e.g., AWS, GCP, Azure) Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
careers.amd.com • • Fort Collins, CO (+5 others) -
AI Jobs Job at Aya Healthcare
AI/Machine Learning Engineer (Software Engineering Team)
Join Aya Healthcare, winner of multiple Top Workplace awards! We are seeking an analytical, data and business-focused professional to join our software and product team. This role is centered on analyzing product hypotheses, validating insights through data, and developing features for machine learning models. As our applications evolve, you will play a key role in ensuring seamless data analysis and interpretation to support business decisions. This is advanced role with emphasis on handling complex datasets and implementing machine learning models. WHO WE ARE: We’re an $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform. At Aya, we’re obsessed with creating exceptional experiences for our clients, clinicians and employees. In fact, we put employee satisfaction above all else. Our team members are responsible for incomparable customer experience and we know that happy employees are critical to maintaining happy clients. We foster an entrepreneurial, high-energy, low-bureaucracy culture and value innovative thinking and creative problem solving. We embrace diversity in thought and backgrounds unified by a commitment to high achievement. When you join Aya, you’ll be surrounded by teammates who care about you as an individual and leaders who will help you grow both personally and professionally. RESPONSIBILITIES: • Analyze and validate product team hypotheses by interpreting large-scale datasets, identifying trends, and generating actionable insights. • Conduct external data analysis by integrating and assessing new data sources, replacing legacy sources, and ensuring compliance with terms of service. • Extract and create features from datasets for machine learning models, driving predictive capabilities and enhancing product performance. • Collaborate with cross-functional teams to translate data-driven insights into business recommendations that guide product decisions and strategy. • Apply advanced statistical analysis, linear algebra, and modeling techniques to large datasets, providing deep, actionable insights. • Perform large-scale data analysis comfortably using tools such as Python and SQL. • Work with Azure Machine Learning for model training and deployment, leveraging cloud capabilities to enhance data analysis workflows. • Participate in Scrum agile development process, focusing on iterative improvements through data-informed decision-making. REQUIRED QUALIFICATIONS: • 4+ years of experience in data analytics and machine learning. • Strong data science background with expertise in statistical analysis, linear algebra, and machine learning models. • Proven experience in external data analysis, working with new data sources, and handling large-scale datasets. • Proficiencyin Python for data analysis, including libraries such as Pandas, NumPy, and Scikit-learn. • Strong skills in SQL for data retrieval and manipulation. • Excellent communication skills to present complex insights to non-technical stakeholders. • Experience with MLOpsframeworks (e.g., MLflow, Kubeflow) and cloud platforms like Azure ML (preferred), AWS, or GCP. • Experience in explainable AI (XAI) is preferred • Strong problem-solving skills in business processes • Understanding of big data technologies like Apache Spark or Hadoop is preferred WHAT WE OFFER: • Free premium medical, dental, life and vision insurance • Generous 401(k) match • Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses • Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling • Celebrations! We hit our goals and reward ourselves. • Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday! • Unlimited DTO — we believe in time off! • Virtual yoga, meditation or boot camp classes offered daily COMPENSATION: Aya reasonably anticipates the pay scale for this position to be an annual salary of $156,000 to $175,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion. Aya is an Equal Opportunity Employer (EEO), including Disability / Vets, and welcomes all to apply. Please click here for our EEO policy.
startup.jobs • • Anywhere • 156K–175K a year -
AI Jobs Job at VirtualVocations
AI and Machine Learning Engineer
A company is looking for an AI and Machine Learning Engineer III. Key Responsibilities Conduct advanced research in AI and machine learning, exploring emerging technologies and applying techniques to solve complex problems Design and architect AI solutions, analyzing business requirements and proposing appropriate machine learning models Provide technical guidance and mentorship to junior team members and collaborate with cross-functional teams to implement AI projects Required Qualifications Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a related quantitative discipline Typically 3+ years of experience in a data engineering or AI engineering role Experience coding in Python and with SQL is required Experience in AWS or Databricks infrastructure environment preferred Experience in media preferred
www.talent.com • • Arvada, CO (+1 other) -
AI Jobs Job at Hudson Manpower
AI / Machine Learning Engineer (Intelligent Systems & Generative AI)
Job Description We are seeking a motivated AI / Machine Learning Engineer with hands-on experience in Intelligent Systems and Generative AI to join our growing technology team. This role is ideal for early-career professionals eager to work on real-world AI solutions and scalable ML models. Experience: 6 Months – 4 Years Employment Type: W2 Only Work Authorization: US Citizens Only Location: Open to Relocation Anywhere in the United States Key Responsibilities • Design, develop, and deploy Machine Learning and AI models for real-world business problems • Work on Generative AI solutions using LLMs, chatbots, recommendation engines, or text/image generation • Build and optimize data pipelines for model training and inference • Collaborate with data scientists, software engineers, and product teams • Perform model evaluation, tuning, and performance optimization • Implement AI solutions using cloud platforms and modern ML frameworks • Document workflows, models, and technical designs Nice to Have • Experience with NLP, computer vision, or recommendation systems • Knowledge of AWS, Azure, or GCP • Understanding of MLOps, CI/CD pipelines, Docker, or Kubernetes • Experience working with SQL/NoSQL databases • Exposure to prompt engineering and AI fine-tuning techniques Education • Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or a related field. Required Skills & Qualifications • 6 months to 2 years of experience in AI / Machine Learning (internships included) • Strong programming skills in Python • Hands-on experience with Machine Learning algorithms (supervised & unsupervised learning) • Exposure to Generative AI / LLMs (OpenAI, Hugging Face, LangChain, etc.) • Experience with ML frameworks: TensorFlow, PyTorch, or Scikit-learn • Basic knowledge of data structures, statistics, and linear algebra • Familiarity with REST APIs and model deployment concepts
www.adzuna.com • • San Jose, NM • 50K–75K a year -
AI Jobs Job at Veracity Software Inc
AI / ML Engineer OR Data Scientist
This a Full Remote job, the offer is available from: New Jersey (USA), Oregon (USA) Role: AI / ML Engineer OR Data Scientist Location: Canada / USA - Remote Long Term Contract Expi: 3+ years • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field) • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval • Strong foundation in data structures, algorithms, and software engineering principles. • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM) • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad) • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services. • Strong analytical and problem-solving skills • Experience structuring and running data-backed experiments • Strong written and verbal communication skills This offer from "Veracity Software Inc" has been enriched by Jobgether.com and got a 75% flex score.
jobgether.com • • Anywhere -
AI Jobs Job at GUSTO
Staff Applied AI and Machine Learning Engineer, Payments and Risk Management
Staff Applied AI and Machine Learning Engineer, Payments & Risk About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers.With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: • Build and deploy machine learning models to identify, assess and mitigate risks • Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time • Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems • Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. • Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions • Present and communicate results to stakeholders across the company Here's what we're looking for: • 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. • Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. • Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. • Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment • Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion • PhD or Masters plus equivalent experience in a quantitative field is a plus • Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? 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jobs.khon2.com • • Denver, CO -
AI Jobs Job at NVIDIA
AI and ML HPC Cluster Engineer, AI and ML HPC Cluster Engineer
NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. Our technology powers everything from generative AI to autonomous systems, and we continue to shape the future of computing through innovation and collaboration. Within this mission, our team, Managed AI Superclusters (MARS) builds and scales the infrastructure, platforms, and tools that enable researchers and engineers to develop the next generation of AI/ML systems. By joining us, you’ll help design solutions that power some of the world’s most advanced computing workloads. NVIDIA is looking for an AI/ML HPC Cluster Engineer to join our MARS team. You will provide technical engagement and problem solving on the management of large-scale HPC systems including the deployment of compute, networking, and storage. You will be working with a team of passionate and skilled engineers across NVIDIA that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in Linux administration, networking, storage, job schedulers, driving improvements, and has the ability to understand researcher computing needs. What You'll Be Doing • Support day-to-day operations of production on-premises and multi-cloud AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization. • Directly administer internal research clusters, conduct upgrades, incident response, and reliability improvements. • Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions. • Maintain heterogeneous AI/ML clusters on-premises and in the cloud. • Support our researchers to run their workloads including performance analysis and optimizations • Analyze and optimize cluster efficiency, job fragmentation, and GPU waste to meet internal SLA targets. • Support root cause analysis and suggest corrective action. Proactively find and fix issues before they occur. • Triage and support postmortems for reliability incidents affecting users or infrastructure. • Participate in a shared on-call rotation supported by strong automation, clear paths for responding to critical issues, and well-defined incident workflows. What We Need To See • Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience • Minimum 2+ years of experience administering multi-node compute infrastructure • Background in managing AI/HPC job schedulers like Slurm, K8s, PBS, RTDA, BCM (formerly known as Bright), or LSF • Proficient in administering Centos/RHEL and/or Ubuntu Linux distributions • Proven understanding of cluster configuration management tools (Ansible, Puppet, Salt, etc.), container technologies (Docker, Singularity, Podman, Shifter, Charliecloud), Python programming, and bash scripting. • Passion for continual learning and staying ahead of emerging technologies and effective approaches in the HPC and AI/ML infrastructure fields. Ways To Stand Out From The Crowd • Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking • Experience with AI/ML concepts, algorithms, models, and frameworks (PyTorch, Tensorflow) • Experience with InfiniBand with IBOP and RDMA • Understanding of fast, distributed storage systems such as Lustre and GPFS for AI/HPC workloads • Applied knowledge in AI/HPC workflows that involve MPI Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2013534
www.linkedin.com • • Anywhere • 124K–196K a year -
AI Jobs Job at Infinity Labs
Senior Machine Learning Engineer | AI/ML Maestro
Job Title: Machine Learning Engineer | AI/ML Maestro Location: Colorado Springs, CO This position is open for a Senior AI/ML Engineer specializing in reinforcement learning (RL) and defense-related modeling and simulation. Candidates must meet the general requirements below to be considered. Additional qualifications for senior-level applicants are listed throughout the description. Who You Are: You wield artificial intelligence like a six-shooter, deploying machine learning algorithms with the precision of a marksman. You’re a problem solver who doesn’t flinch at complex military simulations, integrating AI with DoD frameworks to provide decision-makers with real-time insights. With a sharp mind for AI/ML and a deep understanding of simulation environments, you thrive in secure, high-stakes settings. You don’t just consume research—you apply it, innovate on it, and deploy it in real-world scenarios that shape national security. Who We Are: At Infinity Labs, we don’t settle for incremental gains—we make bold leaps, pushing the boundaries of what’s possible. Our culture thrives on innovation, where creativity fuels action, and inspiration sparks breakthroughs. We don’t just embrace calculated risks; we see them as essential steps toward groundbreaking discoveries. We're on a mission to become the epicenter of transformational, multidisciplinary, system-of-systems technology solutions, strategically aligned with the National Defense Strategy. But our vision isn’t just about technology—it’s about you. Our structure and benefits are designed to protect your future and unleash your full potential. Join us if you're ready to make a real impact and redefine the future. What You’ll Do: • Design, develop, and integrate machine learning models into defense simulations and real-world decision-making systems. • Apply a broad range of AI/ML techniques, including supervised learning, unsupervised learning, and deep learning to optimize system performance. • Work with large-scale datasets, developing data pipelines and feature engineering processes to support training and inference. • Collaborate with DoD civilians, contractors, and stakeholders to align ML solutions with mission objectives. • Develop high-performance, scalable AI architectures for deployment on cloud and HPC environments. • Optimize machine learning workflows, ensuring computational efficiency and maintainability in resource-constrained settings. • Build visualization tools, dashboards, and scripts to analyze model performance and interpret AI-driven insights. • Stay ahead of the latest advancements in AI/ML, incorporating cutting-edge research into practical applications. • Engage with the DoD modeling and simulation (M&S) community, presenting findings and collaborating on technical solutions. • Develop and optimize deep learning architectures, such as transformers, CNNs, and graph-based neural networks, for mission-driven applications. • Lead the development of custom ML libraries and toolkits to enhance AI capabilities across multiple projects. • Oversee the design of relational and graph-based database schemas to support large-scale AI-driven analytics. Minimum Education | What You’ll Bring: • 10+ years of experience in AI/ML. • B.S. in Physics, Engineering, or Computer Science (STEM). Advanced degree preferred. Experience: • Expertise in machine learning frameworks such as PyTorch, TensorFlow, and JAX. • Proficiency with reinforcement learning algorithms (PPO, SAC, DQN). • Hands-on experience integrating AI with modeling and simulation tools (AFSIM, MDASim). • Strong programming skills in Python and experience with ML libraries like RLlib and Gymnasium. • Cloud computing experience with AWS or DoD HPC environments. • Version control proficiency (Git, GitLab, GitHub). Preferred Qualifications | Nice to Haves: • Experience modifying and extending AFSIM framework capabilities. • Familiarity with high-level languages such as MATLAB, Simulink, or Julia. • Deep understanding of component-based architectures in AI/ML applications. • Demonstrated ability to optimize RL training pipelines for computational efficiency. • Contributions to published AI/ML research in a defense or security context. US Citizenship is REQUIRED: • To be considered for a role with Infinity Labs, candidates MUST be a US citizen, as these roles require a US government security clearance. Must have • - Secret level clearance. Nice to have • - Top Secret level clearance and current SCI access. Physical Demands: • Must be able to remain in a stationary position and work on a computer for prolonged periods. This job description provides a high-level review of the responsibilities of the position and is not intended to be a complete list of all responsibilities, duties or skills that may be required for the job. The job description is subject to review and change at any time and other job-related duties or requirements may be assigned as necessary. What We Offer: As a nationally recognized Great Place to Work ® and three-time recipient of the Business of the Year award, we prioritize employee well-being and foster a culture that values individuals. Our premier total compensation package for eligible employees includes: • Comprehensive health benefits including medical, dental, and vision coverage. • Company-paid disability and life insurance. • Generous 401(k) plan with guaranteed company contribution. • Paid time-off options including floating holidays, personal time, parental leave, and community service opportunities. • Investment in employee growth and development through tuition reimbursement and discounted tuition programs with select colleges. • Perks include a convenient in-town work location with Pikes Peak views, free parking next to the building, and complimentary snacks and beverages! In support of Colorado pay transparency laws, the estimated salary range for this position is $150,000 - $200,000. Individual pay will be determined on a wide variety of job-related factors permitted by law, such as experience and training, location, licensure and certifications, skills, budgets, and market. Infinity Labs is an equal opportunity employer, including disability/vets.
www.indeed.com • • Colorado Springs, CO • 150K–200K a year -
AI Jobs Job at Booz Allen Hamilton
AI & ML Engineer, Mid
AI & ML Engineer, Mid The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As an AI and ML engineer, you understand the need for robust, scalable tools that enable efficient ML workflows at the enterprise level, enabling data scientists to build, test, and deploy models at scale. We need your technical knowledge and desire to problem-solve to support civil engineering clients within the Department of War. In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. As an ML engineer, you'll help define and develop MLOps pipelines and containerized solutions to enable secure, robust delivery of models to the enterprise. You'll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and help define AI and ML strategy for our clients. Join us. The world can't wait. You Have: • 1+ years of experience with data science, machine learning engineering, data analytics, or data research • 1+ years of experience with an object-oriented language such as Python, C, or Java • Experience with AWS or Azure cloud technologies • Experience building data science and AI or ML solutions that support enterprise operational business and mission use case • Experience with MLOps open-source and Commercial Off the Shelf (COTS) products such as MLFlow, Databricks, Domino, or SageMaker • Experience with projects in NLP, generative AI, or deep learning focus • Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution • Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders • Ability to obtain a Secret clearance • Bachelor's degree Nice If You Have: • Experience with Generative AI and Large Language Model (LLM) tools and frameworks • Experience with modern Cloud containerization computing technologies and CI/CD, including Docker or Kubernetes • Experience with Huggingface, LangChain, AutoGPT, or AgentGPT, or similar tools • Experience with GPU programming, including CUDA or RAPIDs • Experience addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions • Secret clearance • Master's degree in Computer Science or Statistics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
www.ziprecruiter.com • • Colorado Springs, CO • 176K a year -
AI Jobs Job at Xometry
Principal Machine Learning Data Scientist, Gen AI
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: • Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. • Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. • Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. • Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. • Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. • Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. • Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. • Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. • Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. • Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. Qualifications: • A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. • 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. • Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). • Experience with multimodal data processing (e.g., combining text, image, and 3D data). • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. • Strong background in probability, statistics, and optimization techniques relevant to generative modeling. • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). • Familiar with software engineering principles, including version control, reproducibility, and continuous integration. • Experience in the manufacturing, supply chain, or similar industries is a plus. The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
www.indeed.com • • Denver, CO • 164K–213K a year -
AI Jobs Job at Hewlett Packard Enterprise
AI/Machine Learning Engineer
Are you ready to join a team of forward-thinking individuals who are pushing the boundaries of technology? Hewlett Packard Enterprise is seeking an AI/Machine Learning Engineer to help us develop cutting-edge solutions and drive innovation in the rapidly evolving field of artificial intelligence. As an AI/Machine Learning Engineer, you will have the opportunity to work with advanced algorithms, machine learning models, and large datasets to create intelligent systems that will revolutionize the way businesses operate. We are looking for a highly motivated and skilled individual with a strong passion for AI and a desire to be at the forefront of this exciting industry. If you have a proven track record of success in AI/Machine Learning and a desire to make a significant impact, we want to hear from you. Join us at Hewlett Packard Enterprise and be a part of shaping the future of technology. Develop and implement cutting-edge AI/machine learning solutions to solve complex business problems Work with advanced algorithms, machine learning models, and large datasets to create intelligent systems Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying AI/machine learning Continuously research and stay updated on the latest advancements in AI/machine learning and incorporate them into our solutions Troubleshoot and optimize existing AI/machine learning models to improve performance and accuracy Drive innovation and thought leadership in the field of AI/machine learning within the organization Mentor and guide junior team members in AI/machine learning techniques and best practices Communicate and present technical concepts and solutions to non-technical stakeholders Ensure the security and integrity of data used in AI/machine learning models Stay organized and meet project deadlines in a fast-paced and dynamic environment Actively participate in team meetings and contribute to team strategies and goals Continuously evaluate and improve the performance and efficiency of AI/machine learning systems Collaborate with external partners and vendors on joint AI/machine learning initiatives Represent Hewlett Packard Enterprise as a leader in AI/machine learning at industry events and conferences. Hewlett Packard Enterprise is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
www.jobzmall.com • • Fort Collins, CO • 91K–145K a year -
AI Jobs Job at Gusto
Staff Applied AI and Machine Learning Engineer, Payments & Risk
This job listing in Jefferson - CO has been recently added. Tallo will add a summary here for this job shortly.
tallo.com • • Colorado • 255K a year -
AI Jobs Job at EchoStar
Senior Data Scientist - AI Products
Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. Key Responsibilities: • Partner with stakeholders to identify high-impact, feasible opportunities and demonstrate how data science can drive business outcomes • Develop machine learning models for customer segmentation, churn prediction, user modeling, and lifetime value estimation • Design and deploy GenAI and LLM solutions to automate complex workflows, such as transcript analysis and compliance validation • Transform and analyze large-scale structured and unstructured data (e.g., text, images) to uncover actionable insights • Collaborate with cross-functional teams to build and deploy scalable, cloud-based data science and GenAI solutions; provide technical mentorship • Communicate complex models and findings to both technical and non-technical audiences via dashboards, notebooks, and presentations Skills, Experience and Requirements Education and Experience: • Bachelor’s or Master’s degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field • Master’s or PhD in a relevant quantitative domain • 4+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions • Experience with big data tools such as Amazon Athena, Redshift, BigQuery, Spark, or Teradata • Experienced in prompt engineering, model evaluation, and deploying LLMs in production environments • Hands-on experience with AWS cloud environments and enterprise-scale ML platforms like Dataiku and Databricks Skills and Qualifications: • Strong foundation in statistical and machine learning techniques, including regression, classification, clustering, neural networks, and ensemble models • Proficient in Python and SQL for data science workflows; skilled in building and evaluating generative AI and LLM-based solutions • Skilled in processing unstructured data (text, images) using modern ML/DL frameworks • Proven ability to design, run, and analyze A/B tests and controlled experiments • Familiarity with MLOps practices for deploying, monitoring, and maintaining ML/GenAI systems in production • Data engineering skills for preprocessing, cleaning, and transforming large-scale datasets Visa sponsorship not available for this role Salary Ranges Compensation: $96,250.00/Year - $158,125.00/Year Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
www.echostar.com • • Lone Tree, CO • 110K–157K a year -
AI Jobs Job at Jobs via Dice
ONLY W2 | AI Engineer@ Denver, Co
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Palnar, is seeking the following. Apply via Dice today! Job Summary, • We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and hands-on experience with advanced AI platforms such as Gemini 2.5, GitHub Copilot, Glean, and other generative AI tools. The ideal candidate will be able to design, develop, and deploy AI-powered solutions that enhance productivity, accelerate workflows, and drive innovation. Required Skills & Experience • Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools. • Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). • Proficiency in Python, JavaScript/TypeScript, or similar programming languages. • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and AI/ML deployments. • Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.). • Knowledge of ML pipelines, APIs, and prompt engineering. Excellent problem-solving, communication, and collaboration skills. PALNAR, the trade name of Palayekar Companies Inc. founded in 1997, delivers global software and technology services. Headquartered in Cranbury, New Jersey - United States, with operations in India (Noida and Goa), PALNAR provides software consulting, development, IT Support service and ongoing technology support worldwide.
www.linkedin.com • • Denver, CO -
AI Jobs Job at STAFFXPERT LLC
AI Engineer – Generative AI & LLMs
AI Engineer – Generative AI & LLMs Location: Onsite – Washington, DC Job Type: Contract Position Overview We are seeking a skilled AI Engineer with hands-on experience in Generative AI and Large Language Models (LLMs) to design and develop intelligent applications that transform unstructured data into actionable insights. This role requires strong technical expertise in modern LLM frameworks, API development, and the ability to communicate complex AI concepts to business stakeholders. Key Responsibilities • Design and develop Generative AI applications using modern LLM frameworks • Build and integrate APIs to support AI-driven services and workflows • Apply prompt engineering techniques to optimize model performance • Develop agentic workflows for intelligent automation • Transform unstructured data into structured, analytics-ready formats • Collaborate with cross-functional teams and clearly communicate technical solutions to non-technical stakeholders Required Qualifications • 3+ years of experience in AI/ML or AI Engineering • Hands-on experience building GenAI or LLM-powered applications • Strong understanding of prompt engineering and model orchestration • Experience designing APIs and data pipelines • Excellent communication and stakeholder engagement skills
www.linkedin.com • • United States -
AI Jobs Job at Weave
Senior Machine Learning Engineer, Gen AI
Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways. You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development. You will get a chance to apply these, and other skills, to new and ongoing projects to make machine learning more approachable, data more available, and easier to discover and use by helping design how teams build out AI powered features at Weave. Our teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops. Teams are highly autonomous with the ownership and ability to act in Weave’s best interest. Above all, your work will impact the way our customers experience Weave while working closely with a highly skilled team to accomplish varying goals and cultivate our phenomenal culture. PURPOSE The Machine Learning Team's mission is to enable product innovation by making it painless for developers to build ai powered applications that require access to large sets of data. Machine learning is challenging but we are striving to democratize access to the tools and technology that powers it so teams can build cutting edge features safely and responsibly without a PhD in Data Science. As a Machine Learning Engineer on the team you’ll be building models for new products with emerging technologies, at scale. We handle data for hundreds of millions of people daily. • This position will be available for fully remote in the US with an opportunity to work in an office, if located near the Lehi, UT Headquarters. • Reports to: Engineering Director What You Will Own • Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences. • Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning. • Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products. • Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end. • Build scalable, resilient services to support data integration, event processing, and platform extensions. • Contribute to the continued evolution of product functionality that services large amounts of data and traffic. • Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce. • Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices. • Work in a cloud environment, considering the implementation of functionality through several distributed components and services. • Work with our stakeholders to translate product goals into actionable engineering plans. What You Will Need to Accomplish the Job • High integrity, team-focused approach, and collaboration skills to build tight-knit relationships across Weave with various roles and stakeholders. • Responsive person with a strong bias for action. • 5+ years of experience in any structured back-end language, i.e. Go, Java or Python (Go and Python experience is a plus). • Experience moving and storing TBs of data or 100M’s to 10B’s of records. • Experience building and deploying ML driven B2B multi-tenant applications in production environments. • Experience with common ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others. • Experience with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, multi-modal models, and others. • Experience with data labelling or annotation for audio or text use cases. • Understanding of distributed systems and building scalable, redundant, and observable services. • Expertise in designing and architecting systems for distributed data sets and services. • Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP, etc.). • Experience providing stable well designed libraries and SDKs for internal use. • Self driven and a thirst for learning in a quickly changing industry. • Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments. • Strategic thinker with a strong technical aptitude and a passion for execution. What Will Make Us Love You • A background with data analysis, visualization, and presentation. • 3+ years of experience in data science, machine learning, or predictive analytics in addition to engineering experience. • Experience with natural language models, embeddings, and inference in production, at scale. • Experience with real-time audio models and voice use cases such as transcription, ASR pipelines with interruption detection, audio alignment, and speech synthesis. • Experience with emerging technologies such as Model Context Protocol (MCP). • Proficient understanding of containers, orchestrators, and usage patterns at scale including networking, storage, service meshes, and multi-cluster communication. Experience with Kubernetes or GKE and the Operator Pattern (GCP), specifically, a plus. • Experience with highly sensitive data such as PHI (HIPAA) and PII data. • Experience with automation and container based workflow engines. • Experience with GitOps, IaC, and configuration driven systems. • A preference for open source solutions. • A track record of clean abstractions and simple to use APIs. • Deep understanding of distributed data technologies such as streaming, data mesh, data lakes, warehouses, or distributed machine learning. • A desire to advance the state of the art with new and innovative technologies. • Enjoys working in a greenfield environment using rapid prototyping. • Enjoys working with open-ended, evolving problems, and domains. #LI-DNI At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page. Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.
jobs.ashbyhq.com • • United States