Job description

As a Sr. AI/ML Engineer II, you will design, build, deploy, and maintain production-ready AI and machine learning solutions, leveraging advanced ML techniques to support Retrieval-Augmented Generation (RAG) capabilities and drive mission-focused outcomes. In this role, you will serve as a trusted technical advisor, ensuring secure and effective system integration, while translating complex findings into actionable insights for diverse audiences across the organization. We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you’ll do: Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and AI implementation strategy. Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments. Apply machine learning techniques to support retrieval augmented generation Present results to a diverse audience in presentation or report form Support architectural leadership, technical support, and advisement services to ensure system technologies are integrated and meeting the appropriate security requirements Communicate technical findings, architectural recommendations, and project progress to both technical and nontechnical stakeholders. What you’ll need to succeed: Minimum of 6 years of relevant experience in AI/ML engineering, data science, machine learning, or a related technical discipline. Bachelor's or Master's degree in a relevant field, or equivalent professional experience. Active TS/SCI clearance with CI polygraph. Extensive experience leveraging open-source AI/ML models, with the ability to evaluate and justify the use of proprietary models when appropriate. Strong hands-on experience designing, building, training, integrating, deploying, and maintaining AI/ML models and production applications. Experience developing agentic AI systems, including AI agents, orchestration workflows, and automated data-processing capabilities. Expert-level proficiency in at least two of the following AI/ML areas: Generative AI/LLMs, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or neural networks. At least 6 years experience with at least two following technologies: Python, TensorFlow, SciKit-Learn , Anaconda, Numpy, R, Keras, and Postgres At least 6 years of experience designing, implementing, and maintaining data architectures and services supporting AI/ML solutions, including model optimization, evaluation, and maintenance through Agile user stories and DevSecOps CI/CD pipelines. Expert-level experience designing, developing, and deploying AI/ML solutions in classified AWS cloud environments at Impact Level 6 (IL6) or higher. Strong analytical skills, including the ability to assess program and system performance, identify manual processes, and develop algorithms or automation solutions to improve efficiency. Strong experience designing, developing, deploying, and maintaining containerized AI/ML applications. Ability to work primarily onsite across designated DC Metro locations, including Tyson's Corner and Reston, VA, with occasional customer-site visit SALARY RANGE : $200,000 - $240,000 The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: The candidate's professional background and relevant work experience The specific responsibilities of the role and organizational needs Internal equity and alignment with current team compensation This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include: Performance-based bonuses Company-paid training and/or certifications Referral bonuses Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Additional Compensation : This role may also be eligible for bonuses and/or additional incentives based on individual and company performance. Benefits : All full-time employees are eligible to participate in our benefits programs: Health, dental, and vision insurance 401(k) retirement plan with company match Paid time off (PTO) and holidays Parental Leave and dependent care Flexible work arrangements Professional development opportunities Employee assistance and wellness programs Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits . Plus, check out our accolades. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and 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, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter here .

Requirements

Must-haves

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and AI implementation strategy.
Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments.
Apply machine learning techniques to support retrieval augmented generation
Present results to a diverse audience in presentation or report form
Support architectural leadership, technical support, and advisement services to ensure system technologies are integrated and meeting the appropriate security requirements
Communicate technical findings, architectural recommendations, and project progress to both technical and nontechnical stakeholders.
Minimum of 6 years of relevant experience in AI/ML engineering, data science, machine learning, or a related technical discipline.
Bachelor's or Master's degree in a relevant field, or equivalent professional experience.
Active TS/SCI clearance with CI polygraph.
Extensive experience leveraging open-source AI/ML models, with the ability to evaluate and justify the use of proprietary models when appropriate.
Strong hands-on experience designing, building, training, integrating, deploying, and maintaining AI/ML models and production applications.
Experience developing agentic AI systems, including AI agents, orchestration workflows, and automated data-processing capabilities.
Expert-level proficiency in at least two of the following AI/ML areas: Generative AI/LLMs, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or neural networks.
At least 6 years experience with at least two following technologies: Python, TensorFlow, SciKit-Learn , Anaconda, Numpy, R, Keras, and Postgres
Expert-level experience designing, developing, and deploying AI/ML solutions in classified AWS cloud environments at Impact Level 6 (IL6) or higher.
Strong analytical skills, including the ability to assess program and system performance, identify manual processes, and develop algorithms or automation solutions to improve efficiency.
Strong experience designing, developing, deploying, and maintaining containerized AI/ML applications.
Ability to work primarily onsite across designated DC Metro locations, including Tyson's Corner and Reston, VA, with occasional customer-site visit
The candidate's professional background and relevant work experience
The specific responsibilities of the role and organizational needs
Internal equity and alignment with current team compensation
Performance-based bonuses
Company-paid training and/or certifications

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimlmachine learningpythonpostgresagileci/cdaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave

Wellness

Professional Development