Machine Learning Engineer- TS/SCI with Polygraph

Public Trust: None

Requisition Type: Regular

Your Impact

Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

Transform technology into opportunity as a Machine Learning Engineer with GDIT. A career in enterprise IT means connecting and enhancing the systems that matter most while you build valuable skills that will help you in your career. At GDIT you’ll be at the forefront of innovation and play a meaningful part in improving how agencies operate.

We are seeking an experienced Machine Learning Engineer to design, build, and operate mission‑grade AI/ML capabilities with production REST services, robust data pipelines, and cloud‑native MLOps. This role leads end‑to‑end model lifecycle (from data management and training to deployment and monitoring), integrates AI services into enterprise applications, and ensures secure, reliable delivery in accredited cloud environments.

REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE:

Data Management

• Architect and implement scalable data pipelines and lakes; enforce data governance, encryption (AWS KMS), versioning, lifecycle policies, tagging, and zero‑trust controls across storage and processing workflows.
• Coordinate cross‑domain data movement (e.g., AWS Data Diode/PrivateLink) and continuous compliance evidence generation to support ATO and monitoring.

AI/ML REST Services Deployment

• Build, expose, and scale model inference APIs (REST/GraphQL) and microservices; validate endpoints and automate documentation (VDD, release notes) for production deployment.

Cloud Services & DevSecOps

• Design and manage AWS workloads (EC2, EKS, Lambda, S3, CloudWatch, SNS/SQS) and containerized deployments (Docker/Kubernetes) within CI/CD toolchains (Jenkins/GitHub).
• Apply infrastructure‑as‑code (Terraform/CloudFormation/Ansible) to deliver repeatable, compliant environments with shift‑left security and automated evidence for ATO.

Artificial Intelligence & Machine Learning

• Lead model selection, training, tuning, and evaluation (supervised, unsupervised, reinforcement learning); apply NLP, computer vision, and agentic/GenAI approaches to mission use cases.

WHAT YOU’LL NEED TO SUCCEED:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience.
• Experience: 10+ years
• Security clearance: TS/SCI with Polygraph
• Location: Tyson's, VA (On Customer Site)
• US Citizenship Required

GDIT IS YOUR PLACE:

• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

Work Requirements

Years of Experience

10 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required