Machine Learning Engineer- TS/SCI with Polygraph

General Dynamics IT; Vienna (VA); On-site; USD 162,000 - 219,000; Full time

Benefits offered by this job

401K with company match

Comprehensive health and wellness

Internal mobility team

Professional growth opportunities

Cutting-edge technology

Paid vacation and holidays

Job summary

General Dynamics IT in Tyson's, VA is 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.

You will lead end-to-end model lifecycle from data management to deployment and monitoring, integrate AI services into enterprise applications, and ensure secure, compliant cloud environments.

Qualifications

• Bachelor's degree or equivalent in a technical discipline.
• 10+ years of related experience.
• Security clearance: TS/SCI with Polygraph.

Responsibilities

• Design, build, and operate mission-grade AI/ML capabilities with production REST services.
• Lead end-to-end model lifecycle from data management to deployment and monitoring.
• Integrate AI services into enterprise applications and ensure secure, compliant cloud environments.

Skills

AI/ML REST

AWS KMS

Machine Learning

REST

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker/Kubernetes

Cloud (AWS)

Job description

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

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, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, a