Job description

As a Sr. AI/ML Engineer I, 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: Build, train, operationalize and maintain AI/ML models in production. 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. What you’ll need to succeed: 6 years experience; minimum. Bachelor's degree or equivalent experience Active TS/SCI CI Poly Clearance Extensive experience using open-source models to the largest extent possible or provide a comparable analysis and justification for using proprietary models. Expert experience with at least two of following AI/ML methods: Generative AI/LLMs, NLP, RAG, and neural networks. 6 years experience with at least two following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres 6 years experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Able to maintain the AI/ML models through user stories and DevSecOps CI/CD pipeline including any optimization and evaluation of alternatives. Expert experience designing, developing, and deploying AI/ML solutions into classified AWS cloud environments at IL6+. Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate and optimize. Strong experience with designing, developing, and deploying containerized AI/ML solutions SALARY RANGE: $170,000 - $200,000 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!
Build, train, operationalize and maintain AI/ML models in production.
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.
6 years experience; minimum.
Bachelor's degree or equivalent experience
Active TS/SCI CI Poly Clearance
Extensive experience using open-source models to the largest extent possible or provide a comparable analysis and justification for using proprietary models.
Expert experience with at least two of following AI/ML methods: Generative AI/LLMs, NLP, RAG, and neural networks.
6 years experience with at least two following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres
6 years experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
Able to maintain the AI/ML models through user stories and DevSecOps CI/CD pipeline including any optimization and evaluation of alternatives.
Expert experience designing, developing, and deploying AI/ML solutions into classified AWS cloud environments at IL6+.
Ability to perform data analytics on program related or system related activities.
This will include assessing performance and manual processes implementing methods/algorithms to automate and optimize.
Strong experience with designing, developing, and deploying containerized AI/ML solutions
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
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythonpostgresci/cdaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave

Wellness

Professional Development