AI Machine Learning Engineer 1-KR-7455

Onyx Point • Hanover, MD

3d

About The Position

The team supports web-based applications that automate data management for intelligence community data custodians. These products facilitate information capture and approvals for compliant movement of data through the customer mission space, helping standardize and simplify data movement, reuse, and integration with downstream tools.

The AI Machine Learning Engineer designs, creates, tests, and productizes AI/ML algorithms to address business challenges. Models must learn and make predictions according to business logic developed to meet customer requirements. The role covers model architecture, interaction with data pipelines, application and interpretation of metrics, and presentation of results. It also requires familiarity with application development, infrastructure management, data engineering, and data governance. The engineer trains, retrains, deploys, schedules, monitors, and improves models using iterative user and system feedback to create scalable, high-performing solutions. The role leads geographically diverse teams and often serves as a primary point of contact for AI-related matters.

An active TS/SCI clearance with a current full-scope polygraph and U.S. citizenship are required. The stated salary range is $78,000 to $250,000 per year; the exact salary depends on work location, role, skills, and expertise.

Requirements

• Active TS/SCI security clearance with a current polygraph; U.S. citizenship is required.
• Two years of experience in applied machine learning on programs and contracts of similar scope, type, and complexity.
• Bachelor’s degree in advanced mathematics (such as calculus, linear algebra, or Bayesian statistics), computer science, or a related STEM discipline from an accredited college or university; alternatively, three additional years of machine learning experience on projects with similar machine learning processes may substitute for the degree.
• Exceptional analytical, problem-solving, and communication skills.
• Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Nice To Haves

• Expert knowledge of multiple programming languages, such as Python, Java, C++, and R.
• Experience with Jupyter notebooks.
• Experience with PyTorch or TensorFlow.
• Experience using generative AI tools such as ChatGPT, Claude, or Gemini.
• Experience with agent orchestration and retrieval-augmented generation (RAG).
• Experience with AWS Bedrock.

Responsibilities

• Design, create, test, and productize AI/ML algorithms to solve business challenges.
• Develop models capable of learning and making predictions in accordance with business logic and customer requirements.
• Work across model architecture, data pipeline interaction, metrics application and interpretation, and presentation.
• Train, retrain, deploy, schedule, monitor, and improve models based on iterative user and system feedback.
• Design and create scalable solutions for optimal performance.
• Lead geographically diverse teams and serve as a primary point of contact for AI-related matters.

Benefits

• Medical, dental, and vision insurance.
• Basic and voluntary life and AD&D insurance.
• Short- and long-term disability insurance.
• Accident, critical illness, and hospitalization indemnity insurance.
• Pet insurance.
• 401(k) plan with company match.
• Generous paid time off and paid holidays.
• Parental leave.
• Wellness programs and mental health support.
• Professional development opportunities, including tuition reimbursement.
• Flexible work arrangements, including remote work options.
• Flexible Spending Accounts (FSAs).
• Employee referral programs.
• Bonus opportunities.
• Technology allowance.
• Diverse, inclusive, and supportive workplace culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level