Type of Requisition:
Regular
Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph
Clearance Level Must Be Able to Obtain:
None
Public Trust/Other Required:
None
Job Family:
Data Science and Data Engineering
Job Qualifications:
Skills:
Artificial Intelligence (AI), AWS Key Management Service (KMS), Machine Learning (ML), REST Certifications:
None Experience:
10 + years of related experience US Citizenship Required:
Yes
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
The likely salary range for this position is $162,037 - $219,227. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
Less than 10%
T elecommuting Options:
Onsite
Work Location:
USA VA Vienna
Additional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans,…