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AI Jobs Job at Strativ Group
Machine Learning Engineer - AI Agents & LLMs
Strativ Group seeks a Machine Learning Engineer in San Francisco to design and deploy AI models for a healthcare startup. Requires 4+ years in AI/ML, strong software skills, and offers a salary of $180K–$240K.
www.linkedin.com • • San Francisco, CA • 180K–240K a year -
AI Jobs Job at Leidos
Applied AI/ML Engineer (Performance Intelligence Systems)
Description Leidos is seeking an Applied AI/ML Engineer to support a large, mission-critical U.S. Navy program.This role focuses on designing and building AI- and machine learning–enabled performance intelligence systemsthat help identify operational risks, diagnose systemic performance issues, and surface improvement opportunities across complex program operations. The ideal candidate is a systems-oriented engineer with strong Python development skills and applied data science experience who enjoys working on messy real-world operational problems. Rather than performing one-off analyses, this role focuses on building durable analytical capabilities and software systems that continuously analyze performance data and enable more proactive program management. This position sits within the program’s Performance Management team, supporting Service Level Requirements (SLRs) and broader Navy performance initiatives such as World Class Alignment Metrics (WAM).The work combines systems thinking, applied analytics, and production-quality software engineering to improve how performance issues are detected, understood, and addressed across the program.This team operates in a code-first environment where analytical capabilities are developed as maintainable software systems rather than one-off analyses. Primary ResponsibilitiesDesign and build AI- and machine learning–enabled performance intelligence systems that continuously analyze operational performance data and identify emerging risks, degradation patterns, and improvement opportunities.Design and implement analytical services, pipelines, and tooling in Python that incorporate AI/ML methods and transform operational data into continuously updated performance intelligence.Build cloud-deployed analytical tools and services that enable automated or semi-automated detection of performance issues tied to contractual Service Level Requirements (SLRs).Translate messy operational challenges into practical analytical solutions, combining statistical methods, machine learning techniques, and domain-informed logic.Engineer reusable analytical capabilities, frameworks, and software components that strengthen the team’s long-term ability to diagnose and improve operational performance.Collaborate with performance analysts, engineers, and program stakeholders to frame problems and design data-driven approaches to improving program outcomes.Investigate systemic performance issues and engineer tools that surface root causes, prioritization signals, and improvement opportunities.Communicate technical insights and analytical findings clearly to both technical teams and program leadership.Support broader Navy performance initiatives by extending analytical methods and tooling beyond individual SLR use cases when appropriate. Required QualificationsBachelor’s degree with 8+ years of experience applying data science, machine learning, or AI to real-world operational or performance problems (additional experience may be considered in lieu of degree)Strong Python development experience building maintainable, production-quality software.Experience designing and implementing analytical pipelines, data processing workflows, or AI/ML-enabled analytical systems.Experience working with large, messy, or heterogeneous operational datasets and extracting meaningful signals.Experience deploying analytical code, pipelines, or services in cloud or production environments.Experience developing containerized analytical applications and deploying services through CI/CD pipelines.Experience building APIs or service interfaces that expose analytical capabilities or models.Demonstrated ability to frame ambiguous operational problems and engineer practical analytical solutions.Ability to clearly communicate analytical reasoning and technical insights to both technical and non-technical stakeholders.Experience building and maintaining analytical systems or tools used operationally by other teams or stakeholders.Active Secret clearance or higher.Preferred QualificationsExperience applying machine learning, statistical modeling, or anomaly detection techniques to operational or performance datasets.Experience building analytical tools, services, or platforms used by operational teams or decision-makers.Exposure to AI-enabled workflows, automation, or reusable analytics frameworks.Familiarity with container orchestration platforms (Kubernetes, ECS, or similar) for deploying scalable analytical services.Experience working in large operational programs or complex enterprise environments, particularly within government or defense programs.Strong systems thinking and curiosity about how complex operational environments function and fail.If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:March 18, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote
careers.leidos.com • • Herndon, VA -
AI Jobs Job at Cynosure Technologies LLC
Need - Artificial Intelligence/Machine Learning Engineer 2- Austin, TX, Onsite - Locals Only
Cynosure Technologies LLC is seeking an Artificial Intelligence/Machine Learning Engineer 2 for an onsite role in Austin, TX, with a focus on AI/ML development for the Texas Department of Transportation.
bebee.com • • Austin, TX -
AI Jobs Job at MD Anderson
Machine Learning Engineer - Platforms
MD Anderson is hiring a Machine Learning Engineer - Platforms in Houston, TX, to develop and maintain the enterprise AI/ML platform for clinical and operational use. The role involves MLOps engineering, platform integration, and collaboration with data scientists.
jobs.mdanderson.org • • Houston, TX -
AI Jobs Job at KIHOMAC, Inc.
Data Scientist/AI Engineer (Contingent) Jobs
KIHOMAC, Inc. is hiring a Data Scientist/AI Engineer in Aberdeen Proving Ground, MD. The role involves developing machine learning models and analytics for wearable systems, requiring a Bachelor's degree and 3+ years of relevant experience.
www.clearancejobs.com • • Aberdeen Proving Ground, MD -
AI Jobs Job at Adobe
Machine Learning Engineer, Express AI Foundations
Adobe is seeking a Machine Learning Engineer for its Express AI Foundations team in San Jose, CA. The role involves developing AI infrastructure and collaborating on production systems for various AI applications.
careers.adobe.com • • San Jose, CA -
AI Jobs Job at Optum
AI/ML Engineer - Remote
Optum is hiring an AI/ML Engineer to develop conversational AI solutions. This remote role requires experience with AWS services and AI/ML systems, focusing on voice and chatbot platforms.
www.linkedin.com • • Schaumburg, IL -
AI Jobs Job at Peraton
Artificial Intelligence and Machine Learning (AI/ML) High Perfor with Security Clearance
About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure. Program Overview Technical SETA support for MPO intel analysis and data processing, tool modernization, high performance computing (HPC) and analytic systems engineering. About The Role Peraton is seeking an Artificial Intelligence and Machine Learning (AI/ML) knowledgeable Mid-Career Systems Engineer to support a mission-critical High Performance Computing (HPC) program of national importance. This cutting-edge program encompasses everything from HPC test planning and execution, to architecture design, prototyping, and vendor collaboration. Technical areas span commercial cloud technologies, HPC, and enterprise architecture directly supporting the success of U.S. national security objectives. As a Systems Engineer, you will: Provide engineering support across the full system lifecycle, including requirements elicitation, analysis, and allocation. Conduct systems requirements reviews, develop concepts of operations, and establish interface standards. Design and integrate complex hardware/software systems while performing technical and non-technical assessments. Perform end-to-end flow analysis to ensure seamless integration of program capabilities.Desired Skills to maximize success: Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS) AI/ML system design and implementation High-level understanding of the AI lifecycle (development, training, inference, monitoring) Experience with ML pipeline development, model deployment, and DevOps/MLOps Experience with Amazon SageMaker is a plus Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions System security and networking (particularly the implementation of system security on classified systems) Data engineering and data lifecycle management Why Join Peraton? We recognize the criticality of this mission and reward our team with enhanced benefits, including: Heavily subsidized health coverage for employees and dependents. 25 days of annual PTO, with a generous rollover cap. Eligibility for an attractive annual bonus plan.This is an opportunity to be part of a high-profile, tactically important program, where your contributions are directly recognized for their impact. #MDFSP Qualifications Requirements: Active TS/SCI clearance with polygraph Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.Education & Experience (one of the following): High School Diploma/GED and 14+ years of systems engineering experience OR Bachelor's degree in an accredited engineering or related discipline and 10+ years of systems engineering experience OR * Master's degree or PhD in an accredited engineering or related discipline and 8+ years of systems engineering experience. Details Target Salary Range: $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits. Application Statements: The application period for the job is estimated to be 30 days from the job postin
bebee.com • • Fort Meade, MD -
AI Jobs Job at Nationwide IT Services
AI Engineer - Machine Learning and Data Science
Job DescriptionJob DescriptionAI Engineer - Machine Learning and Data Science Job Description Are you a passionate AI engineer eager to shape the future? We're seeking a talented individual to join our innovative team and contribute to cutting-edge projects. As an AI Engineer, you'll leverage your expertise in machine learning, data science, cloud technologies, Python, and front-end development to create groundbreaking solutions. ResponsibilitiesMachine Learning Model Development: Design, develop, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.Data Science: Clean, preprocess, and analyze large datasets to extract valuable insights and inform model development.Cloud Infrastructure: Build and maintain scalable cloud-based infrastructure using platforms like AWS, GCP, or Azure to support AI workloads.Python Programming: Write efficient and well-structured Python code to implement machine learning algorithms, data pipelines, and web applications.Front-End Development: Collaborate with UI/UX designers to develop user-friendly front-end interfaces for AI-powered applications.Research and Innovation: Stay up to date with the latest advancements in AI and machine learning, exploring new techniques and technologies to enhance our solutions.QualificationsBachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.Proven experience in machine learning model development, including deep learning and traditional algorithms.Strong proficiency in Python programming and data analysis libraries (e.g., NumPy, Pandas, Scikit-learn).Familiarity with cloud platforms (AWS, GCP, or Azure) and their associated tools for AI deployment.Understand front-end development concepts and frameworks (e.g., HTML, CSS, JavaScript, React).Excellent problem-solving, analytical, and communication skills.A passion for AI and a desire to contribute to innovative projects.Bonus PointsExperience with specific machine learning frameworks (e.g., TensorFlow, PyTorch).Knowledge of natural language processing or computer vision techniques.Contributions to open-source AI projects.If you're a talented AI engineer looking to make a significant impact, we encourage you to apply! About Nationwide IT Services NIS is an IT and Management consulting company, is a CVE-verified Service-Disabled Veteran- Owned Small Business. Our mission is to deliver value-added services to our customers, leveraging technology, people, and industry best practices to implement innovative solutions through our trusted employees and team members. Our benefits package includes medical, dental, and vision insurance, life and disability insurance, 401(k) plan with employer match, paid holidays, PTO (sick/vacation), commuter benefits, employee assistance program (EAP), and educational reimbursement along with Pet Insurance. Nationwide IT Services, Inc. provides equal employment opportunities (EEO) to all qualified applicants for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, genetics, disability or protected veteran status. Powered by JazzHR 5NyDA7k4II
jobs.6amcity.com • • Virginia • 110K–150K a year -
AI Jobs Job at Toast
Senior Manager, Data Science and Machine Learning
Toast is seeking a Senior Manager for Data Science and Machine Learning to lead AI initiatives and collaborate across teams. The role requires an advanced degree and experience in deploying machine learning solutions.
careers.toasttab.com • • Estados Unidos -
AI Jobs Job at DCCA
Machine Learning Engineer / Specialist with Security Clearance
DCCA is seeking a Machine Learning Engineer/Specialist with an active TS/SCI security clearance in Littleton, CO. The role involves developing and deploying AI algorithms and requires a bachelor's degree in a technical field.
www.linkedin.com • • Littleton, CO, Estados Unidos -
AI Jobs Job at GSK
AIML Engineer, AI for Science
Site Name: London The Stanley Building, Heidelberg, Switzerland - Zug, USA - Massachusetts - Cambridge Posted Date: Apr 20 2026 At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development of AI models and agentic systems — researching, designing, implementing, and delivering solutions across a range of scientific tasks, including open-ended research questions, leveraging high-performance computing and the vast biomedical data sources available at GSK. Team Culture The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver robust, tested, and high-performance code in an agile environment. Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state-of-the-art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python. Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting. Fluency in English. Preferred Qualifications If you have the following characteristics, it would be a plus: Experience in design, development and deployment of commercial AI/ML software. Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation). Contributions to relevant open-source projects. Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues. Knowledge of or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process. #LI-GSK #LI-Hybrid • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
jobs.gsk.com • • Estados Unidos (+3) -
AI Jobs Job at Jobs via Dice
Senior AI/ML Machine Learning Engineer
Lockheed Martin is hiring a Senior AI/ML Machine Learning Engineer in Cope, CO, to work on complex Space challenges. Candidates should have a STEM degree and experience in AI/ML technologies.
bebee.com • • Cope, CO, Estados Unidos -
AI Jobs Job at Humana, Inc.
Senior Data Scientist - Generative AI
Become a part of our caring community We are looking for a Senior Data Scientist to design and deliver Generative AI applications as part of the Growth Analytics & AI team. You will focus on building innovative, scalable, and reliable LLM-based solutions that produce insights from conversational and long-form unstructured data to inform business strategy, increase operational efficiency, and improve customer experience. The ideal candidate combines strong applied GenAI and machine learning expertise with solid software engineering practices, demonstrates curiosity in exploring new approaches and use cases, and communicates effectively with both technical and non-technical stakeholders. This role partners with product, engineering, and platform teams to translate complex business problems into production-ready AI solutions and move high-value use cases from concept to impact. The candidate must be able to work within the Eastern or Central Standard Time zones. Key Responsibilities Design, build, and deploy LLM-based applications for conversational intelligence and insight generation.Develop multi-step AI workflows, including retrieval, orchestration, routing, and tool-using patterns.Define and implement evaluation approaches for LLM applications, including response quality, reliability, safety, and value.Work with large-scale structured and unstructured data using modern data platforms (e.g., Spark, Databricks, Snowflake).Partner with engineering teams to move GenAI solutions from prototype to production.Write clean, maintainable code and contribute to shared development practices such as version control, documentation, and code review.Ensure solutions align with enterprise standards for security, privacy, compliance, and responsible AI. Use your skills to make an impact Required Qualifications Bachelor's degree and 5+ years of experience (or Master's degree and 3+ years) in computer science, data science, engineering, or a related quantitative field.Strong proficiency in Python and modern development practices for AI applications.Expertise in working with natural language data and building text-based products, using both classic and state-of-the-art NLP techniques (e.g. text mining, word embeddings, transformer-based models)Experience with LLM prompt engineering and architectural patterns for LLM systems (e.g., retrieval-augmented generation, multi-agent designs).Hands-on experience building tool-integrated and agent-based LLM workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.Experience working with cloud and data platforms such as Azure, Databricks, GCP, and Snowflake.Experience designing, evaluating, and supporting AI applications in production or enterprise environments.Experience with data governance, privacy, security, and compliance requirements.Strong communication skills and ability to work with technical and non-technical teams. Preferred Qualifications Ph.D. in Computer Science or a related quantitative field.Experience in the healthcare, medical, or pharmaceutical industry.Hands-on experience in MLOps, DevOps, or software engineering.Demonstrated depth in machine learning and generative AI, with a strong applied understanding of LLM behavior, evaluation, reliability, and trade-offs.Proven hands-on experience building end-to-end GenAI and agentic AI solutions.Experience building GenAI solutions that operate on long-context data such as chats, transcripts, and long-form documents in real-world, production scenarios. Additional Information WAH Internet Statement To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.Satellite, cellular and microwave connection can be used only if approved by leadership.Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $117,600 - $161,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 07-03-2026 About us About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
www.ziprecruiter.com • • Estados Unidos • US$ 118 mil a US$ 162 mil por ano -
AI Jobs Job at Celebal Technologies
Lead Data Scientist & Machine Learning Engineer
Celebal Technologies is seeking a Lead Data Scientist & Machine Learning Engineer to develop and implement AI solutions using the Databricks platform. The role requires extensive experience in data science and leadership.
bebee.com • • Qualquer lugar -
AI Jobs Job at BayOne Solutions
AI Software Engineers – Python & LLMs (Currently hiring for full-time positions, offering a unique opportunity to relocate to Puerto Rico for interested candidates.)
BayOne Solutions is hiring AI Software Engineers with expertise in Python and LLMs for full-time roles, offering relocation to Puerto Rico. Competitive compensation and comprehensive benefits are included.
www.linkedin.com • • Estados Unidos -
AI Jobs Job at TekVizor
Senior Machine Learning Engineer - Trust and Safety
TekVizor is hiring a Senior Machine Learning Engineer for their Trust and Safety team in New York or San Francisco. The role involves developing scalable ML models for content moderation and safety.
www.linkedin.com • • Qualquer lugar -
AI Jobs Job at Jobs via Dice
AI/ML ENGINEER
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Acadia Technologies, Inc., is seeking the following. Apply via Dice today! AI/ML Engineers require a blend of software engineering, Data science, and mathematical expertise, Focusing on Python proficiency, Machine learning frameworks (TensorFlow, PyTorch), Data manipulation (Pandas, SQL), MLOps tools (Docker, Kubernetes).
www.linkedin.com • • Arlington, TX -
AI Jobs Job at Mayo Clinic
Data Scientist - AI Program
Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights Medical: Multiple plan options. Dental: Delta Dental or reimbursement account for flexible coverage. Vision: Affordable plan with national network. Pre-Tax Savings: HSA and FSAs for eligible expenses. Retirement: Competitive retirement package to secure your future. Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership on data science at Mayo. Candidate has extensive expertise in navigating the whole spectrum of transforming data to information to knowledge and to wisdom including problem formulation, data acquisition, modeling, learning strategy, and interpretation with extensive hands-on experience. Provide strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery). Work with enterprise leaderships to advance digital strategy at Mayo Clinic. Works closely with Informatics and IT teams to create data and intelligence driven systems to solve complex client problems. Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices. Supports scientific projects under the loose supervision of a designated senior level data scientist, or under self-direction. Designs, develops, applies and modifies scripts or software applications to support data management, data extraction and data analysis as required. Provides Consultative Services at an enterprise level to departments/divisions. Is responsible to gather, analyze, present findings to leadership. Other responsibilities: • Participates in multidisciplinary teams to design, develop, and recommend new approaches for data driven decision-making. • Leads discovery processes on pioneering AI/ML based approaches to solve complex data problems across a variety of domains. • Has deep expertise in the methods used to analyze data and deep knowledge of data types, topics, and scientific challenges and approaches that will be used to help inform and define new products, experiences and technologies. • Guides and educates the data science team to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives at Mayo Clinic. • Will develop analytics tools that can be used by other staff with non-technical expertise. Qualifications PhD degree in domain-relevant sciences (mathematics, computer science, statistics, physics, data science, engineering, health science or other domain-relevant field) with at least four years of informatics, Artificial Intelligence, data science and/or machine learning. The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Experience leading technical/quantitative teams and in-depth business or practice knowledge is required. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is required. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to deploy data science solutions, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools. Expertise in the use of scientific computing and data management packages. Demonstrated ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports.Demonstrated ability to provide vision and strategic direction at an institutional or enterprise level to departments/divisions and committees. Exemption Status Exempt Compensation Detail $171,433.60 - $248,580.80 / year Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday, 8am - 5pm International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Ted Keefe
jobs.mayoclinic.org • • Rochester, MN -
AI Jobs Job at Caterpillar
Senior Data Scientist - Artificial Intelligence R&D
Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world. Job Summary: Join the AI Research & Development team of Cat Digital and play a central role in advancing the frontier of applied AI for one of the world's largest industrial enterprises. As a Senior Data Scientist, you will design, build, and evaluate cutting-edge AI systems, spanning generative AI, large language models (LLMs), multimodal intelligence, retrieval-augmented generation (RAG), and autonomous agents, delivering high-impact Proofs of Concept (POCs) with clear production intent while exploring longer-horizon research opportunities. What You Will Do: Design and execute AI experiments across the full model lifecycle: hypothesis formulation, data preparation, model development, evaluation, and iteration, maintaining research rigor in an ambiguous, fast-moving environment.Develop, fine-tune, and benchmark LLMs and multimodal AI models (text, vision, speech), including systematic evaluation of quality, latency, cost, and safety tradeoffs across model variants and providers.Explore and optimize knowledge retrieval systems (RAG pipelines, vector databases, hybrid search) and agentic workflows, ensuring relevance, accuracy, and scalability for enterprise use cases.Lead data preparation workstreams for model training, fine-tuning, and validation, including dataset curation, labeling strategy, synthetic data generation, and quality assurance.Instrument AI systems for observability and reproducibility using experiment tracking frameworks (e.g., Langfuse, MLflow), maintaining clear documentation of model versions, evaluation datasets, and performance baselines.Translate research findings into production-ready prototypes, collaborating with Engineering and Product teams to define technical requirements, integration paths, and deployment readiness criteria.Evaluate emerging AI capabilities and tools (open-source and commercial), providing structured assessments and recommendations to inform the team's technology strategy.Mentor and coach junior Data Scientists, establishing best practices for experimentation, model evaluation, and responsible AI development across the team.Communicate insights and results to technical and non-technical stakeholders, including product managers, engineers, and senior leadership, with clarity and business impact framing. What You Will Have: Applied Statistics & Quantitative Methods: Experience applying statistical thinking to experimentation, evaluation, and decision‑making in ambiguous, research‑driven environments. Analytical Rigor & Attention to Detail: Proven ability to design precise experiments, validate assumptions, and ensure accuracy and reproducibility of results. Advanced Machine Learning & AI: Knowledge of modern ML techniques, including deep learning, generative AI, NLP, computer vision, and multimodal systems, with hands‑on implementation experience. Model Evaluation & Optimization: Strong experience evaluating model quality and system‑level tradeoffs across accuracy, latency, cost, and scalability dimensions. Programming Expertise: Proficiency in Python for AI and ML development, including use of modern AI frameworks and tooling. Data Engineering & Access: Strong understanding of data storage, retrieval, and processing systems required to support large‑scale training and experimentation workflows. Requirements & Systems Thinking: Ability to define technical and non‑functional requirements that bridge research, engineering, and production concerns. Considerations for Top Candidates: Bachelor’s, Master’s, or PhD degree in Data Science, Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a closely related technical field. Proven experience building and deploying advanced ML models beyond traditional analytics use cases. Extensive proficiency in Python (NumPy, Pandas, PyTorch, LangChain, etc.); ability to write clean, maintainable, production-oriented code and contribute to shared AI infrastructure.Strong hands‑on experience with generative AI, large language models, deep neural networks, and modern ML frameworks. Demonstrated experience designing evaluation frameworks and benchmarks for AI systems. Familiarity with AI infrastructure, cloud platforms (AWS, Azure), and scalable experimentation environments. Advanced experience with version control, experiment tracking, and collaborative development (e.g., Git‑based workflows). Experience working in Agile, cross‑functional product development environments. Prior exposure to industrial, manufacturing, heavy equipment, or complex physical systems is a strong plus, but not required. Summary Pay Range: $112,710.00 - $183,140.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. Posting Dates: April 28, 2026 - May 8, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.
careers.caterpillar.com • • Peoria, IL (+1 other) -
AI Jobs Job at Capgemini
Associate AI - Data Scientist / ML Engineer (Azure)
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Locations WA- SeattleAbout the job you’re considering The Data Scientist / ML Engineer will demonstrate strong expertise in machine learning algorithms such as Linear and Logistic Regression, Clustering/Segmentation, Decision Trees, Random Forest, Gradient Boosting (GBM), Deep Neural Networks (DNN), Naive Bayes, Support Vector Machines (SVM), and related techniques. This role requires the ability to lead technical initiatives, collaborate with cross‑functional teams, manage projects, and engage effectively with customers to deliver scalable, cloud‑based AI solutions.Your Role Responsible for developing and implementing AI‑assisted marketing and business analytics solutions using data science and machine learning on Microsoft Azure. Partner closely with stakeholders across engineering, product, and business teams to deliver innovative, secure, and scalable solutions that drive business growth and improve customer engagement. Required Skills Design, implement, and optimize machine learning models across supervised, unsupervised, and reinforcement learning paradigms. Develop solutions involving Natural Language Processing (NLP), computer vision, recommendation systems, and predictive analytics. Perform feature engineering, data preprocessing, model selection, and hyperparameter tuning. Experiment with and evaluate novel algorithms and advanced ML techniques to solve complex business problems. Build, train, and deploy models using Azure Machine Learning and associated SDKs. Design and maintain scalable data and ML pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS). Deploy and operationalize models using Azure Kubernetes Service (AKS), Azure Container Instances, or Azure Functions. Implement CI/CD and MLOps best practices using Azure DevOps or GitHub Actions for model versioning, testing, and deployment. Monitor model performance, data drift, and model health; retrain models as required to ensure continued accuracy and reliability. Optimize inference performance, cost, and resource utilization in Azure environments. Collaborate closely with Data Engineers to ingest, transform, and manage large‑scale structured and unstructured datasets. Ensure high standards of data quality, consistency, security, and governance in compliance with enterprise and regulatory requirements. Work with software engineers, data scientists, and product managers to seamlessly integrate ML solutions into business applications and platforms. Stay current with emerging trends in machine learning, AI, and Azure cloud technologies. Evaluate new tools, frameworks, and libraries to continuously enhance solution quality and performance. Mentor junior engineers and data scientists, promoting best practices in ML development, cloud architecture, and MLOps. This job is Referral only .The base compensation range for this role in the posted location is: $46,000 - $110,000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
careers.capgemini.com • • Seattle, WA -
AI Jobs Job at Altos Labs
Machine Learning Engineer/Machine Learning Scientist , Multi Modality
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As part of our team, you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. We are open to hiring either a Machine Learning Scientist or Machine Learning Engineer. In either role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem. Focussing on designing and building state-of-the-art multimodal foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity. Responsibilities Machine Learning Engineer As a Machine Learning Engineer you will focus on building, deploying and optimizing machine learning models at scale. Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs. Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Ability to apply software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment. Machine Learning Scientist The ideal candidate will be able to use their experience to focus on designing, developing and evaluating state of the art foundation models, at scale, to benefit the research. Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs. You will be able to gain insights, based on theory, deep research and the mathematical underpinnings of your work. Be experienced in using AI as a tool to accelerate your research. Can apply strong coding experience to model development using existing languages(s) and framework(s) Who You Are We are looking for someone who is : Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities and how they can contribute Highly collaborative in mindset and ways of working Self-motivated to drive and deliver on projects and goals Demonstrates the desire to grow professionally and expand their skillset and knowledge; is keen to learn more about biology, computational science, and drug development. Ability to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff. Is able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work. Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community. Minimum Qualifications Machine Learning Engineer MS in Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related discipline 0-5 years of relevant work experience in either an academic or industry setting Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate) Ideally, experience in a distributed training framework, like DDP, FSDP, Deepspeed, Megatron, or HuggingFace Accelerate, Ray. Expertise in a subset of the following: transformers, natural language processing, multi-modality in language and/or in biology, diffusion models. Machine Learning Scientist PhD in Computer Science / Machine Learning or similar fields 0-5 years of relevant work experience in either an academic or industry setting. Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion models. Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate) Strong track record of published peer reviewed innovative AI/ML research Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; Preferred Qualifications Familiarity with multimodal data integration, including early and/or late fusion strategies. Track record of ML applied to NGS data (e.g.RNA-seq, ATAC-seq, ChIP-seq, DNA methylation), biological imaging modalities (e.g. microscopy, H&E, IF), and/or spatial transcriptomics. The salary range for Machine Learning Engineer position in San Diego Machine Learning Engineer I: $140,000 - $179,500 Machine Learning Engineer II: $158,300 - $203,000 The salary range for Machine Learning Engineer position in Redwood City Machine Learning Engineer I: $152,600 - $195,600 Machine Learning Engineer II: $174,200 - $223,300 The salary range for Machine Learning Scientist position in San Diego Scientist I, Machine Learning: $179,400 - $230,000 Scientist II, Machine Learning: $212,900 - $273,000 The salary range for Machine Learning Scientist position in Redwood City Scientist I, Machine Learning: $200,900 - $257,500 Scientist II, Machine Learning: $226,200 - $290,000 Exact compensation may vary based on skills, experience, and location. For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. #LI-NN1 Equal Opportunity Employment We value collaboration and scientific excellence. We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/
www.glassdoor.com • • San Diego, CA • 140K–290K a year -
AI Jobs Job at Alcimed
Applied AI/ML Engineer - Healthcare & Pharma
Alcimed is hiring an Applied AI/ML Engineer in Princeton, NJ, to develop AI solutions for healthcare and pharma. Candidates should have a relevant degree and experience in AI/ML systems.
www.linkedin.com • • Princeton, NJ -
AI Jobs Job at ICA.ai
Data Science/Machine Learning Engineer (Remote, Continental United States)
About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again! We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you. We are looking for Data Science/Machine Learning Engineers to join our growing team! ABOUT THE ROLE: As a Data Science/Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities. ABOUT YOU: You are a curious and driven Machine Learning Engineer with a strong foundation in Python and hands-on experience building and deploying ML models in cloud environments like AWS. You thrive on solving complex problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative mindset allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life. You stay current with the latest ML techniques and tools, and you're passionate about turning prototypes into production-ready systems that deliver real-world impact. RESPONSIBILITIES: Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals.Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches.Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data.Perform data processing using State of the Art LLM Models and technologiesInnovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization's data strategy with novel ML and AI methods.Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management.Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes.Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices.REQUIRED QUALIFICATIONS: 5+ years of overall professional experience in data science, analytics, or a related field.At least 23 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering).Education:Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.Technical Proficiency:Coding knowledge and experience with PythonProven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development.Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworksFamiliarity with LLM evaluation, interpretability, and best practices.Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, , etc.).Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development.NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing)Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services.Preferred: experience with Document ProcessingAbility to obtain a Public Trust ClearanceUSE OF AI ASSITIVE TECHNOLOGY All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification. BENEFITS: We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits. Health Insurance -100% employer-paid premiums ICA covers the full cost of one of three offered medical plansDental InsuranceVision insuranceHealth Spending AccountFlexible Spending AccountLife and Disability insurance401(k) plan with company matchPaid Time Off (Vacation, Sick Leave and Holidays)Education and Professional Development AssistanceRemote work from anywhere within the continental United StatesLOCATION & TELEWORK This is a remote position. Candidates residing in the DMV area preferred. ADDITIONAL INFORMATION: ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
www.ziprecruiter.com • • Arlington, VA -
AI Jobs Job at VirtualVocations
Data Scientist / ML Engineer
VirtualVocations is hiring a Data Scientist / ML Engineer in Baltimore, MD, to design and maintain scalable machine learning systems. The role requires extensive experience with Python, AWS, and ML frameworks.
www.talent.com • • Baltimore, MD -
AI Jobs Job at SynergisticIT
junior data scientist/ AI engineer
CS/IT/Data science/ML/AI Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out).Projects look like school assignments (not production-aligned).Interview skills are undertrained (DSA, system design, SQL, behavioral).No structured pipeline (random applying without feedback loops).A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experienceStudents finishing Bachelor’s or Master’s programs who need a real hiring planCandidates who apply consistently but don’t get callbacksCandidates who reach interviews but struggle to closeInternational students on F-1/OPT who need a job plan for STEM extension/H-1B timingGraduates with strong academics but thin practical experienceSynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner):USA Today featureContact & get a roadmap: https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume
www.linkedin.com • • Anywhere • 78K–141K a year -
AI Jobs Job at MARKS IT SOLUTIONS LLC
AI/ML Engineer Data Scientist
S.no New Requisition 1 Skill AI/ML Engineer Data Scientist. 2 Preferred Location Reston, VA Description: Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. Build and maintain AI pipelines, from data processing to model deployment. Analyze complex datasets to uncover insights and improve model performance. Ability to analyze complex problems and develop effective AI-driven solutions. Deploy AI solutions on cloud platforms such as AWS. Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions. Deep understanding of deploying AI applications within a CICD environment, specifically AWS. Preferred qualifications: Experience with MLOps tools (e.g., MLflow, Kubeflow). Knowledge of big data technologies (Spark, Hadoop, Databricks). Background in NLP, computer vision, or other advanced AI techniques. Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud). Required qualifications: Strong programming skills in Python, R, or Java. Hands-on experience with machine learning algorithms and frameworks. Familiarity with major cloud platforms for AI deployment. Strong analytical and problem‑solving skills. Solid foundation in mathematics and statistics.
bebee.com • • Reston, VA -
AI Jobs Job at Motion Recruitment
Machine Learning Engineer (NLP / Deep Learning)
A fast-growing AI-driven technology company is hiring a full-time Machine Learning Engineer to join their expanding engineering team. This organization builds advanced machine learning platforms and data-driven products that help companies unlock insights, automate decision making, and deliver intelligent applications at scale. In this role, you’ll work with technologies such as Python, machine learning frameworks, data pipelines, cloud infrastructure, and modern MLOps tooling to design and deploy production-ready ML models. This is an exciting opportunity for someone who enjoys working at the intersection of data science, software engineering, and real-world product development. The team is looking for an engineer who can take machine learning solutions from concept to production while collaborating closely with data scientists and product teams. The biggest draw of this role is the chance to work on high-impact AI systems that directly influence product features and customer outcomes. You’ll gain exposure to cutting-edge ML techniques, scalable data architectures, and a fast-paced environment where learning and growth are encouraged. Required Skills & Experience Strong experience with Python and machine learning development Experience building and deploying production machine learning models Experience working with large datasets and data pipelines Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar Experience with cloud platforms and scalable data infrastructure Strong understanding of software development best practices including testing and version control Desired Skills & Experience Experience working with MLOps tools and model deployment pipelines Experience building APIs for ML services Experience working with distributed data processing systems Experience deploying ML solutions in cloud environments What You Will Be Doing Tech Breakdown 50% Python / Machine Learning Development 30% Data Pipelines & Model Training 20% Cloud Infrastructure & Model Deployment Daily Responsibilities 70% Hands On 20% Team Collaboration 10% Architecture & Technical Planning The Offer Bonus eligible You Will Receive The Following Benefits Medical, Dental, and Vision Insurance Vacation Time Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Posted By: Charles Deuter
bebee.com • • Santa Clara, CA • 9,167–14,167 a month -
AI Jobs Job at 1017 York International Corp.
Data Scientist / AI Engineer (hybrid)
What you will do Johnson Controls is hiring a Data Scientist / AI Engineer to support our Centrifugal Chiller Engineering organization. In this Engineering Enablement role, you will design, deploy, and sustain data-driven and AI-enabled tools that improve engineering efficiency, quality, and decision-making. This role is focused on practical, applied solutions—transforming engineering data, standards, and workflows into robust, user-friendly tools that engineers rely on every day. We’re looking for someone who is passionate about using AI and automation to solve real-world engineering problems and streamline daily work. This position is based at our Advanced Engineering and Development Center (ADEC) in New Freedom, PA. We prefer candidates that are commuting distance to the office, or able to relocate. How you will do it Design, develop, and maintain data-driven and AI-enabled tools for engineering teams Translate complex engineering challenges into scalable, maintainable technical solutions Build tools integrated with Excel, SharePoint, Microsoft Teams, and engineering databases Prioritize usability, reliability, and adoption by non-software engineers Analyze engineering, test, and quality data to identify trends, risks, and improvement opportunities Develop statistical, machine learning, or rule-based models based on problem needs Enable automated reporting, dashboards, and visualizations Apply AI/ML techniques where they deliver clear, measurable engineering value Leverage low-code / no-code platforms to accelerate deployment and adoption Support responsible AI practices, including traceability, validation, and documentation Collaborate with engineering, quality, manufacturing, and IT stakeholders Contribute to Kaizen and continuous improvement initiatives Own deployed tools throughout their full lifecycle, including enhancements and sustainment What you will need Required Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field 2–7 years of experience developing data-driven tools, automation, or analytics solutions Proficiency in Python or a similar data/automation programming language Experience working with structured engineering, test, or quality data Preferred Experience in engineering, manufacturing, or industrial environments Familiarity with statistical analysis and foundational machine learning techniques Experience building internal tools for non-technical users HIRING SALARY RANGE: $90,000 - $120,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here. Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.
jci.wd5.myworkdayjobs.com • • New Freedom, PA -
AI Jobs Job at HTC Global Services
Sr. AI/Machine Learning Engineer
Job Description Job Title: AI/ML Software Engineer Overview / Summary The AI/ML Software Engineer will design and build software tools that incorporate AI/ML techniques to automate narrowly defined tasks, assist internal users, and improve external user interactions. This role involves developing solutions such as chatbots, RPA tools, knowledge retrieval systems, and AI-driven data processing applications within defined infrastructure and system constraints. Key Responsibilities Design and build software systems integrating AI/ML techniques to automate tasks and enhance user servicesCollaborate on system architecture, workflows, and agent design decisionsContribute to technical decision-making for data processing, retrieval strategies, and system integrationEvaluate and apply appropriate techniques, including LLM and non-LLM approachesDevelop testing and evaluation pipelines for AI/ML systemsCreate unit and integration tests for AI-enabled workflows and data pipelinesGenerate and use synthetic data for evaluation and benchmarkingImprove system performance, including accuracy, latency, and cost efficiencySupport deployment of AI/ML applications in hybrid cloud environmentsWork with containerized applications to ensure reliable deployment and updatesOptimize systems for environments with limited computational resourcesDeliver production-grade systems aligned with requirementsDocument system designs, workflows, and technical decisionsStay current with AI/ML advancements and apply them within project constraints Required Qualifications Bachelor of Science in Engineering, Computer Science, Data Science, Mathematics, or a related field Preferred Qualifications At least 3 years of experience in data science, machine learning, or applied AI developmentAt least 3 years of experience in software engineering, architecture, or web development Preferred Skills & Experience Front-end development using React and/or AngularMessage queuing and event streaming (RabbitMQ or Kafka)Elasticsearch for search and analyticsMicroservices development using Spring Boot or similar Java frameworksCloud platforms (AWS, Azure, or Google Cloud)DevOps tools, Git, CI/CD pipelinesEvent-driven architecture designStrong Java proficiency (core libraries, concurrency, JVM fundamentals)PrimeFaces and JSF integrationSoftware design patterns and architectural best practicesContainerization and orchestration (Docker, Kubernetes)RESTful APIs and integration patternsRelational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra)Monitoring and observability tools (Prometheus, Grafana, ELK stack)Security best practices Additional Technical Capabilities Python proficiency for backend services, APIs, and data pipelinesExperience with LLMs, embeddings, and RAG systemsFine-tuning language or embedding modelsGraph databases (e.g., Neo4j) and graph-based retrieval techniquesAI system testing, evaluation pipelines, and synthetic data usageValidation of AI outputs and mitigation of hallucinationsExperience with containerization, version control, and distributed systemsKnowledge of NLP techniques (LLM and non-LLM approaches) What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. LI-ST1
www.linkedin.com • • Anywhere -
AI Jobs Job at R Systems
AI/ML Analytics & Automation Engineer
R Systems is hiring an AI/ML Analytics & Automation Engineer in Greenwood Village, CO. The role involves designing AI/ML models, managing data pipelines, and integrating analytics into business processes.
www.linkedin.com • • Greenwood Village, CO -
AI Jobs Job at InpharmD
Hiring - NLP/ML Engineer
InpharmD is hiring an NLP/ML Engineer to enhance AI algorithms and develop healthcare products. The role requires strong AI skills and offers a $150K salary with stock options.
www.linkedin.com • • United States -
AI Jobs Job at Hunter Douglas, Inc.
Copy of 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. 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 motivated and experienced Data Scientist to join our growing AI Analytics & Digital Transformation team. This individual will play a key role in advancing Hunter Douglas’s digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business. The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives. What you'll do Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain.Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability.Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals.Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve.Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges.Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas’s digital transformation initiatives.Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment.Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions.Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling.Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption.Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas’s VIBE platform and data ecosystem.Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility.Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications.Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows. Who you are Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related).5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context.Strong proficiency in Python, R, or SQL for data science and model development.Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP).Proven ability to design and operationalize data science solutions in real-world environments.Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics.Knowledge of data visualization and BI tools (Power BI, Tableau, or similar).Strong problem-solving, analytical, and communication skills.Familiarity with version control (Git) and collaborative development practices. Preferred Education, Experience, and Skills: Master’s in Data Science, Engineering, Statistics, or related quantitative discipline.Experience working in manufacturing, supply chain, or consumer goods industries.Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications.Understanding of AI frameworks and automation pipelines for large-scale AI deployment.Proven ability to manage multiple projects and deliver business impact through analytics.Strong collaboration and communication skills to engage with diverse business teams.Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.). 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-$125000Bonus target range: 20%-25%Generous benefits package including medical, dental, vision, life, disabilityA company culture that prioritizes internal development and professional growthTime off with pay 401(k) plan with a degree of employer matchingPaid parental leaveWellness programs and product discountsPlease 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. #L1 - HYBRID 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
www.linkedin.com • • Broomfield, CO -
AI Jobs Job at Pwc
AI Engineer / Data Scientist, AI Senior Associate
Industry/Sector Not Applicable Specialism Assurance Management Level Senior Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others.Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.Use critical thinking to break down complex concepts.Understand the broader objectives of your project or role and how your work fits into the overall strategy.Develop a deeper understanding of the business context and how it is changing.Use reflection to develop self awareness, enhance strengths and address development areas.Interpret data to inform insights and recommendations.Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Audit and Assurance team, you will engage in the evaluation and assessment of AI solutions, securing compliance and governance. As a Senior Associate, you will lead efforts in managing AI/ML controls while collaborating with diverse teams to enhance transparency and reporting. This position provides an exciting opportunity to shape the future of AI governance and contribute to innovative thought leadership in the industry. Responsibilities - Evaluate and assess AI solutions to confirm compliance with governance standards - Lead initiatives for managing AI/ML controls across diverse teams - Enhance transparency and reporting processes within AI projects - Collaborate with stakeholders to develop innovative thought leadership - Analyze and interpret data to inform governance strategies - Provide guidance on recommended practices for AI compliance - Support the implementation of impactful reporting frameworks - Drive continuous improvement in AI governance practices What You Must Have - Bachelor's Degree - At least 2 years of experience What Sets You Apart - Bachelor's Degree in Statistics, Management Information Systems & Accounting, Accounting & Technology, Business Administration/Management, Regulatory Compliance, Physics, Economics and Finance & Technology, Computer Science, Data Processing/Analytics/Science, or Mathematics preferred - Experience in AI/ML model and testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems - Experience with model evaluation frameworks and testing protocols - Familiarity with data science and AI lifecycle - Understanding of data governance and model deployment disciplines - Leading AI/ML and emerging technology control efforts - Coaching teams on emerging data technologies - Translating technical concepts for non-technical stakeholders - Subject matter knowledge to support thought leadership Travel Requirements Up to 20% Job Posting End Date The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
www.ziprecruiter.com • • Detroit, MI • 72K–212K a year -
AI Jobs Job at Celebal Technologies
[Remote] Lead Data Scientist & Machine Learning Engineer
Celebal Technologies is hiring a Lead Data Scientist & Machine Learning Engineer for a remote position in the USA. The role involves architecting AI solutions and leading a team on the Databricks platform.
jobright.ai • • Anywhere -
AI Jobs Job at CACI
Data Scientist (AI/ML)
CACI is hiring a Data Scientist (AI/ML) in Denver, CO, to work on innovative software solutions for Defense and National Security. The role requires expertise in AI/ML, RF systems, and a strong background in statistical methods.
searchcareers.caci.com • • Denver, CO -
AI Jobs Job at WSP in the U.S.
AI / ML Engineer - Image Analytics
WSP in the U.S. is hiring an AI/ML Engineer specializing in image analytics. The role involves developing machine learning solutions and requires expertise in computer vision, Python, and Azure AI/ML stack.
www.linkedin.com • • Denver, CO -
AI Jobs Job at BillGO, Inc.
Data Scientist AI/ML
We’re looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You’ll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products. Why This Role Matters This role matters because it sits at the intersection of advanced AI and real-world financial decision-making, where the impact of data science is immediate, measurable, and high-stakes. By building intelligent models for risk, fraud detection, and payment optimization, the Data Scientist directly helps protect customers, improve transaction accuracy, and drive business growth. In a fintech environment where trust, speed, and compliance are critical, this role ensures that data is not just analyzed but transformed into actionable systems that power secure and efficient financial experiences. Beyond technical execution, the position also shapes innovation by integrating cutting-edge AI, like generative models and LLMs, into core products, enabling smarter operations and more personalized customer interactions. What You’ll Do AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities. Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk. Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance. AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning. Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance. Communication: Translate technical findings into actionable insights for business leaders and compliance teams. Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. What You Bring Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field. 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments. Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance. Experience with cloud platforms such as Snowflake for ML deployment. Preferred Qualifications Experience in fraud analytics, risk scoring, or payment decision models. Understanding of MLOps and continuous model monitoring in regulated environments. Familiarity with financial transaction data, open banking APIs, or real-time payments systems. Experience developing LLM-powered assistants or AI copilots for financial operations or support. Strong data storytelling and visualization skills (Tableau preferred). Compensation We offer a competitive compensation package, including: Base salary ($102,000-$146,900) Performance incentive Equity opportunities Comprehensive health, retirement, and lifestyle benefits This role is about more than compensation, it’s about the opportunity to transform how small businesses thrive in the digital economy.
www.indeed.com • • Fort Collins, CO • 102K–147K a year -
AI Jobs Job at Viasat, Inc.
Data Scientist
About us One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do As a Data Scientist at Viasat, you will have the outstanding opportunity to work on groundbreaking projects that push the boundaries of technology and innovation. You'll be part of an exceptionally hard-working team dedicated to solving some of the most ambitious challenges in the industry. This role is perfect for those who thrive in a dynamic, collaborative environment and are passionate about using AI development to drive world-class solutions. The day-to-day Successfully implement advanced machine learning algorithms and statistical models, and generative AI applications to interpret and analyze complex data sets.Collaborate strictly with cross-functional teams to determine and prioritize business needs, translating them into data science projects.Deploy and maintain machine learning and AI based models.Develop and maintain robust data pipelines for machine learning and AI applications.Share findings and insights with collaborators, offering actionable suggestions to drive business results.Stay current with the latest advancements in AI and data science to continually improve our capabilities and compete at the highest level. What you'll need 2+ years experience as a Data Scientist, preferably in an engineering role.Strong expertise in AI development and machine learning frameworks. Proficiency in python programming languages and machine learning frameworks. Outstanding analytical and problem-solving skills with a keen attention to detail.Ability to communicate complex technical concepts to non-technical collaborators.A degree or equivalent experience in Computer Science, Statistics, Mathematics, or a related field.Ability to travel up to 10%. What will help you on the job Advanced degree or equivalent experience (Master's or Ph.D.) in a relevant field.Experience working in a fast-paced, high-tech industry. Familiarity with cloud platforms like AWS, Azure, or Google Cloud.Strong track record of delivering projects on time and within scope. Passion for continuous learning and professional development.Experience with machine learning deployment platforms a plus. Salary range $117,000.00 - $185,000.00 / annually. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $145,000.00- $218,000.00/ annually At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat’s comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits. EEO Statement Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
careers.viasat.com • • Englewood, CO (+2 others) -
AI Jobs Job at Photon Career Site
Sr Data Scientist - Gen AI ML - Irving
Role Summary: We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices. Technical Stack: LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment. Frameworks: LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval. Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements. Design and deploy high-performance, scalable backend services using FastAPI and Async Python. Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance. Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools. Containerize and deploy AI services via Docker to production environments. Required Qualifications: Hands-on experience building and deploying GenAI applications in a production setting. Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.). Experience with vector search, embedding models, and advanced data retrieval patterns. Knowledge of model fine-tuning techniques and local LLM quantization/hosting. Familiarity with production-grade monitoring, API security, and CI/CD for ML. Compensation, Benefits and Duration Minimum Compensation: USD 62,000 Maximum Compensation: USD 217,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post
fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com • • United States -
AI Jobs Job at EchoStar
Staff 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. As a Staff Data Scientist in our AI Office, you will bridge the gap between complex data science and tangible business outcomes. You are responsible for solving the challenge of identifying high-impact AI opportunities and determining their feasibility within our vast data ecosystem. By transforming large-scale structured and unstructured data into production-grade GenAI and machine learning solutions, you will ensure our AI products drive measurable value for our customers and the mission. What Success Looks Like (Objectives)Partner with stakeholders to identify high-impact, feasible opportunities for the AI Office and demonstrate how data science can drive business outcomes Deliver production-ready machine learning models for customer segmentation, churn prediction, and lifetime value estimation to directly impact department OKRs Architect and deploy GenAI and LLM solutions that automate complex workflows, such as transcript analysis and compliance validation, using cutting-edge AI applications Lead the transformation of large-scale structured and unstructured data into actionable insights that inform product strategy and user modeling Collaborate with cross-functional teams to build scalable, cloud-based solutions while providing technical mentorship to elevate the team's collective expertise Master the art of storytelling by communicating complex models and findings to both technical and non-technical audiences via intuitive dashboards and presentations Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring)You don't just design models; you champion them by balancing immediate feature requests against long-term technical health and the elimination of technical debt in production environments Expert-level mastery of statistical modeling and machine learning—including regression, clustering, and neural networks—with the ability to design and analyze rigorous A/B tests and controlled experiments Advanced proficiency in building and deploying LLM-based solutions, demonstrating a deep understanding of prompt engineering and the management of unstructured data (text and images) Skilled in Python and SQL for building robust data pipelines and preprocessing large-scale datasets using big data tools like Spark, BigQuery, or Redshift A proven ability to analyze ambiguous information, make rational judgments regarding model architecture, and take responsibility for the results in a fast-paced environment Strong ability to build working relationships across teams to achieve shared goals, while utilizing enterprise platforms like AWS, Databricks, or Dataiku to maintain ML systems Excellence in writing clearly and succinctly for diverse audiences, ensuring that technical findings are translated into an inspiring vision for stakeholders Additional QualificationsExperience with enterprise-level AI governance and compliance Familiarity with emerging trends in multimodal AI and agentic workflows Minimum RequirementsBachelor’s degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field 6+ years of experience in data science and applied machine learning with a proven track record of delivering business impact Must have at least 6 years of experience with: Python and SQL for data science and pipeline development AWS or similar cloud-based enterprise platforms (Databricks, Dataiku) Big Data tools such as Spark, BigQuery, or Redshift Salary Ranges Compensation: $153,755.00/Year - $208,035.00/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: EchoStar 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 • • Parker, CO -
AI Jobs Job at Experian
Data Scientist, Innovation Lab — AI & ML Research
Job Posting - Salary Range: $133,109 - $239,596 Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable. As a Data Scientist at the Experian Innovation Lab, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You will report into the VP Data Science You'll Have Opportunity To • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques. • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions. • Innovate with tools designed for data processing and information retrieval. • Dissect and document vast datasets, analyzing them to highlight patterns and insights. • Solve complex challenges by developing impactful algorithms. • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits. • Articulate model processes and outcomes, documenting and presenting findings and performance metrics. Qualifications • Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. • 1 or more years of experience in AI, data science, or predictive modeling • Proficiency in at least one programming language, with coding skills in Python • Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning. • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas. • Experience with large data analysis using Spark (pySpark) • Experience with LLMs and the relevant tools in the Generative AI domain. • Experience developing advanced language models • Experience applying Generative AI-based tools • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra. • Experience modifying and applying advanced algorithms to address practical problems Benefits/Perks Additional Information • Great compensation package and bonus plan • Core benefits including medical, dental, vision, and matching 401K • Flexible work environment, ability to work remote, hybrid or in-office • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
www.jobleads.com • • United States • US$133K–US$240K a year -
AI Jobs Job at Rocket Software
AI Engineer (Agentic Operations) - NLP
Job Description Summary: Rocket's Data Modernization Business Unit aids customers in managing, governing, and maximizing the value of their enterprise data assets. Our clientele comprises many Fortune 500 companies, including some of the world's largest banks, insurance companies, and manufacturing organizations. We are currently seeking motivated and innovative individuals to join our applied machine learning team. This is an opportunity to play a crucial role in the continued evolution of our world-class solutions. Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation. They will be responsible for understanding and adapting current research. The position requires a deep understanding of computational linguistics, image processing, and Python programming. The selected candidate will be part of a collaborative team dedicated to building, fine-tuning, and deploying state-of-the-art models to solve real-world problems in information management, data intelligence, content automation, audit, and analytics. This presents an opportunity to create tremendous business value as we assemble a world-class applied machine learning team. Essential Duties and Responsibilities: · Consult with key internal and external stakeholders to understand and frame model requirements and potential applications. · Design, develop, and deploy machine learning models using tools and platforms optimized for distributed machine learning. · Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. · Evaluate the applicability of current research to our problem domain and software solutions. · Collaborate closely with software engineers to integrate the trained models into end-user applications. · Develop sound analytic plans based on available data sources, business partner needs, and required timelines. · Manage deliverables across multiple projects in a deadline-driven environment and projects related to a wide variety of business settings. · Present results, insights, and recommendations to both technical and non-technical stakeholders. Required Qualifications: · 5+ years of industry experience. · Experience in the professional management of junior data scientists within projects and their continuous professional development. · Expertise in Python, Linux, and ML, familiarity with SQL. · Demonstrated ability to find creative and practical solutions to complex problems. · Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. · Demonstrated ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions. · A quick learner, highly adaptable to the needs of internal collaborators in a dynamic environment. · Efficiency in managing multiple projects. · Excellent communication and interpersonal skills. · Must be comfortable working in a team-oriented environment. Preferred Qualifications: · Master’s degree in Statistics, Computer Science, Mathematics, Economics, or directly related fields. While all the above qualifications are important, we also value candidates who display a strong passion for continued learning, possess a spirit of innovation, and show high adaptability in a fast-paced work environment.
www.theladders.com • • Pine, CO, United States • US$100K–US$140K a year -
AI Jobs Job at Kavyos Consulting
Machine Learning Scientist – Natural Language Processing (NLP) - Vice President
Kavyos Consulting is hiring a Machine Learning Scientist – NLP - Vice President to develop and deploy machine learning solutions, focusing on Generative AI in banking. Responsibilities include research, collaboration, and leading initiatives.
www.linkedin.com • • United States -
AI Jobs Job at Pacific Northwest National Laboratory
Virtual Hiring Event - Data Scientists
Overview Great minds meet great challenges. Ready to build what’s next? At PNNL, Data Scientists work at the intersection of scientific discovery and advanced machine learning, contributing across our major science and technology directorates. Each directorate addresses distinct mission-driven challenges, providing opportunities to develop novel algorithms, advance computational methods, and apply data-centric approaches to complex real-world scientific and national challenges. We’re looking for passionate Data Scientists who are driven by curiosity, rigor, and impact - individuals who excel in collaborative, interdisciplinary environments and are motivated to push the boundaries of what data and machine learning can achieve. Whether developing scalable models, designing new learning paradigms, deploying AI systems in operational settings, or translating data into actionable scientific insight, you will play a key role in advancing research and enabling high-impact decisions across domains. We’re hosting a virtual hiring event, giving you the opportunity to connect directly with our hiring teams and explore how your skills align with our work. Event Details: Our virtual hiring event will take place during the week of April 27, 2026. All applications are reviewed based on job-related skills, qualifications, and experience. Selected candidates may be invited to participate in virtual technical interviews during this timeframe and will be contacted directly with scheduling details. Apply your skills to meaningful work across our mission driven focus areas: National Security Directorate (NSD) Build resilient, secure software and data systems that support high-consequence missions—where performance, reliability, and security are critical. Physical and Computational Sciences Directorate (PCSD) Engineer platforms that accelerate scientific computing and discovery—connecting large-scale computing with data-rich scientific workflows (aligned with DOE’s integrated AI platform vision). There is a strong preference for on‑site/hybrid presence at one of our PNNL campuses, including Richland, WA or Seattle, WA based on the position. Responsibilities Skills We’re Seeking: Machine Learning and Deep Learning: Scalable learning architectures for high-dimensional and multimodal data, including domain aligned deep learning, NLP, and scientific ML with hands-on experience developing, training, and testing models. Generative AI and Foundation Models: Development and evaluation of large-scale generative systems, including fine-tuning, agents, tool use, and optimization for robustness, alignment, and efficiency. AI Assurance, Security, & Evaluation: Knowledge of adversarial machine learning, explainable AI (xAI), AI assurance methods, and evaluation of AI systems across performance metrics, out-of-distribution generalization, and mission-specific assurance criteria. Data Science and Statistical Learning: Statistical and analytical methods for structured and unstructured data, including inference, integration, pattern discovery, and uncertainty quantification. Scientific Computing and Software Systems: High-performance software for ML and scientific workloads using Python ecosystems and modern frameworks, integrated with simulation and robotics platforms, ROS, MuJoCo, IsaacSim, Gazebo. RF Signal Processing and Sensing Systems: AI/ML applied to RF signal processing, communications, and remote sensing including spectrum awareness, adaptive communication systems, and edge deployment on hardware in noisy, dynamic, or contested environments. Robotics and Autonomy: Intelligent embodied systems spanning motion planning, model predictive control, control barrier functions, vision-language-action models, reinforcement learning, and sim-to-real transfer. Optimization and Algorithmic Methods: Large-scale, nonlinear, mixed integer and constrained optimization methods for decision-making and system design, Gurobi, CPLEX. AI for Quantum Systems & Computing: Machine learning for quantum systems, including state estimation, control, error mitigation, and hybrid quantum-classical algorithms. Research and Mission Translation: Translating research into deployable solutions through interdisciplinary collaboration and data-driven decision-making. Technical Leadership & Program Execution: Scoping, planning, and delivering complex technical projects, including scheduling, budgeting, and milestone execution. Business Development: Developing novel research directions, briefing stakeholders, and leading proposal development and contributing to proposals and business development, with demonstrated success securing funding. Community and Scientific Leadership: Active engagement and leadership across academic, industry, and national laboratory communities. Qualifications Minimum Qualifications: BS/BA in science or engineering and 5+ years of relevant work experience -OR-MS/MA in science or engineering and 3+ years of relevant work experience -OR-PhD in science or engineering with 1+ year of relevant experience Hazardous Working Conditions/Environment Not Applicable Additional Information This position requires the ability to obtain and maintain a federal security clearance. A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct. Requirements: U.S. CitizenshipBackground Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated. Testing Designated Position This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program. 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 $140,200.00/Yr. Maximum Salary USD $228,800.00/Yr.
careers.pnnl.gov • • Richland, WA (+2 others) -
AI Jobs Job at Booz Allen Hamilton
Reinforcement Learning AI Engineer
Reinforcement Learning AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI developer specializing in reinforcement learning to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.You will collaborate with cross-functional teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success. You'll pioneer a growing community of machine learning engineers across the company.You'll collaborate with a team of dedicated Space, Military, Intelligence, Engineering, and AI professionals to deliver bleeding-edge solutions to solve high-priority national defense problems. What You'll Work On: • Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems. • Develop scalable training pipelines using Python and modern ML frameworks. • Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments. • Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning. • Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives. • Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies. • Transition trained models into production systems, following strong software engineering best practices. • Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components. Join us. The world can't wait. You Have: • Experience developing and training reinforcement learning agents • Experience with Gym or PettingZoo interfaces • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX • Experience with artificial intelligence, data science, machine learning engineering, or software engineering • Experience developing technical solutions using Python, C++, or Rust • Knowledge of reinforcement learning and artificial neural networks • Ability to obtain a Secret clearance • Bachelor's degree in a Computer Science, Artificial Intelligence, or Engineering field Nice If You Have: • Experience applying RL to autonomy, control systems, or mission-scale • Experience with Multi-Agent Reinforcement Learning (MARL) • Experience with AFSIM or other high-fidelity simulation environments • Experience with embedded systems programming in C, C++, or Rust • Experience in GPU programming, including CUDA or RAPID • Experience developing in-space solutions • Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment • Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field 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 $99,000.00 to $225,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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 • 225K a year -
AI Jobs Job at Alexander Chapman
Senior Machine Learning Engineer, 3D Generative AI
A startup in Los Angeles seeks a Senior Machine Learning Engineer for their Avatar Technology team. Responsibilities include architecting 3D generative models and optimizing ML models, with a compensation range of $240,000 – $340,000 plus equity.
www.linkedin.com • • United States -
AI Jobs Job at Inductive Bio
Machine Learning Scientist
Inductive Bio is hiring a Machine Learning Scientist to enhance drug discovery through AI. The role involves developing predictive models and collaborating with scientists, offering a salary of US$170K–US$240K annually.
jobs.ashbyhq.com • • United States • US$170K–US$240K a year -
AI Jobs Job at Photon Career Site
Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga
Photon Career Site is hiring a Generative AI Engineer to develop and optimize AI applications. The role requires expertise in machine learning and software engineering, with a salary range of USD 56,000 to USD 196,000.
fa-ertb-saasfaprod1.fa.ocs.oraclecloud.com • • United States -
AI Jobs Job at ChatGPT Jobs
Data Scientist - Optimization and Advanced Machine Learning
• *Job Description** Data Scientist - Optimization and Advanced Machine Learning • *FM • Johnston, RI • On-site, Remote • *Salary: $103.04K - $148.10K/yr • *Type:** Full-time • *Benefits:** Medical, Retirement • *Posted:** 3 hours ago • *Job Description** FM is seeking a Data Scientist specializing in optimization and advanced machine learning to translate business needs into analytical & AI solutions. The role involves designing, developing, and deploying optimization models, AI/ML algorithms, and decision‑support systems for real‑world problems across various teams. Key Responsibilities • Build machine learning and AI solutions using Python/R and modern ML frameworks. • Develop and deploy optimization models for risk assessment and operational decision‑making. • Lead end‑to-end model development: problem framing, data processing, feature engineering, modeling, validation, implementation, and monitoring. • Work with cross‑functional partners to translate analytical insights into business actions. • Work with large‑scale datasets using SQL or similar tools and implement robust data pipelines. • Apply creativity and domain expertise to evaluate and improve model performance and interpretability. • Contribute to continuous innovation in optimization, ML, and AI practices across the organization. • *Qualifications • *Education: • Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a related field. PhD preferred. • *Experience • 5+ years of industry experience in building optimization or machine learning solutions. • 5+ years hands‑on experience with data processing, modeling, and advanced analytics using Python or R. • 3+ years experience working with large datasets using SQL or similar technologies. • Experience leading full‑cycle data science or optimization projects from ideation to deployment. • Experience with cloud‑based analytics and machine learning platforms, preferably Azure Databricks • *Technical Skills Strong Knowledge & Practical Experience in • Optimization methods: • Linear / Non‑linear programming • Mixed‑integer optimization • Metaheuristics (GA, simulated annealing, evolutionary algorithms) • Stochastic and robust optimization • Core Machine Learning algorithms: • Tree‑based models, gradient boosting • Clustering & unsupervised learning • Neural networks and deep learning fundamentals • Simulation • Model evaluation, validation, and experimentation • Data wrangling, feature engineering, and pipeline design • ML engineering practices following MLOps principles (model tracking, reproducibility, deployment) • *Preferred Qualifications** • Experience in risk management, insurance, or operations modeling.
bebee.com • • United States