Sr. AI/ML Engineer II (6883)

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., * 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
• 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

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 (https://www.metrostar.com/wp-content/uploads/2025/02/MetroStar-CultureGuide-2025.pdf) and benefits (https://www.metrostar.com/join-us/) . Plus, check out our accolades. (https://blog.metrostar.com/news/tag/awards)

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.