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