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Expert Data Science Consultant | 20-Year Track Record As a seasoned data scientist and fractional leader, I excel at tackling complex problems that elude traditional AI solutions. With a 20-year track record of delivering impactful results, I specialize in transforming "hard-to-solve" challenges into tangible solutions. My expertise spans multiple sectors, Key areas of impact include: Oil & Gas: Developing predictive models for reservoir performance and well-engineering to optimize minera...
Is Python enough to start with Machine Learning in 2026?
I’m a beginner trying to get into ML. I know basic Python but I’m confused what to learn next. Should I focus on: Pandas / NumPy Or directly ML libraries? What would you recommend for a complete beginner? submitted by /u/Dkx-543 [link] [comments]
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.
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.
Rate my resume as fresher trying to enter work force
submitted by /u/Kooky_Emu_6147 [link] [comments]
Hey everyone, I'm a Full-Stack AI/ML Engineer with 3+ years of production experience across Agentic AI, RAG pipelines, Computer Vision, and Voice AI. I build systems end-to-end — from model architecture to deployed APIs — and I'm open to freelance contracts or full-time remote roles. Agentic AI & LLM Systems Built a multi-agent financial analyst using LangGraph A2A architecture — specialized agents cooperate to generate structured quarterly equity reports with live market data, streamed v...
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
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
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.
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.
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.
submitted by /u/whatadrag79 [link] [comments]
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
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
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.
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.
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.
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.
Is it even eligible for any kind of work?
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[FOR HIRE] Looking for a Remote Contractual Opportunity in AI & ML
Hey, so I have multiple yrs of experience in AI & ML. Have experience building and deploying products from the ground up and leading teams. But recently I have decided to move away from the tech field and go into management. So, this year I left my job and am looking for a remote / contractual opportunity to pursue as I study for management. I have been interviewing and have multiple full time onsite offers, but I really was looking for a remote opportunity, even if it's not contractual. ...
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