Machine Learning Engineer

Peraton • Annapolis Junction, MD

5d

About The Position

Peraton’s team supports a suite of web-based applications that automate data management for intelligence community data custodians. The applications facilitate information capture and approvals, enabling compliant movement of data through the customer mission space. They help standardize and simplify data movement, reuse, and integration with downstream tools.

The Machine Learning Engineer designs, creates, tests, and productizes AI/ML algorithms to address business challenges and meet customer requirements. The models must learn and make predictions based on developed business logic. The role covers model architecture, data pipeline interaction, metrics application, interpretation, and presentation, along with foundational 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.

Requirements

• Active TS/SCI clearance with current Polygraph.
• Two years of applied machine learning experience in 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.
• Proficiency in model architecture, data pipeline interaction, and applying, interpreting, and presenting metrics.

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 and meet customer requirements.
• Develop models capable of learning and making predictions based on business logic.
• Work across model architecture, data pipeline interaction, metrics application, 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

• Heavily subsidized employee benefits coverage for employees and their dependents.
• 25 days of PTO accrued annually, up to a generous PTO cap.
• Eligibility to participate in an attractive bonus plan.
• Medical, dental, vision, and life insurance.
• Health savings account.
• Short- and long-term disability coverage.
• Employee Assistance Program (EAP).
• Parental leave.
• 401(k).
• Paid time off for vacation.
• Company-paid holidays.
• Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

What This Job Offers

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