Sr. AI/ML Engineer II (6883)
Summary
Hands-on technical lead designing, building, and deploying production AI/ML solutions—including RAG and agentic AI—in classified AWS (IL6) environments. Core stack includes Python, TensorFlow, Scikit-Learn, and Postgres; requires an active TS/SCI clearance with CI polygraph and hybrid work in the D.C. metro area (Reston/Tysons Corner, VA).
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: $180,000 - $205,000
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.
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Skills
As published by greenhouse · 9 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Location
Short answers (1)
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Pick from a list (8)
- Security Clearance
- What is your target salary range?
- This position requires primarily onsite work at designated locations in Tyson's Corner and Reston, VA, with occasional visits to customer facilities in the DC Metro area. Are you local to the DC Metro area and comfortable with this onsite schedule?
- Are you legally authorized to work in the United States WITHOUT employer sponsorship (i.e., C2C, H1B, EAD, OPT, F1 or TN) now or in the future?
- Were you previously one of our MetroStar teammates, and are interested in rejoining us?
- If hired by MetroStar, do you intend to maintain or take on other employment, consulting, freelance work, or an active role in another business while employed by MetroStar?
- Do you have professional, hands-on experience building, training, integrating, and deploying AI/ML models or applications into production environments, beyond simply using existing AI tools or prompting LLMs?
- How many years of professional experience do you have in data science, machine learning, or statistical modeling?