Machine Learning Engineer- TS/SCI with Polygraph

Usa Va Viennamid

Machine Learning EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

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.

Requirements Summary

Skills:Artificial Intelligence (AI), AWS Key Management Service (KMS), Machine Learning (ML),

Technical Tools

Machine Learning EngineerData

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

None

Job Family:

Data Science and Data Engineering

Requirements

~1 min read

Artificial Intelligence (AI), AWS Key Management Service (KMS), Machine Learning (ML), REST

None

10 + years of related experience

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.

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.

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

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.

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

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

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:

Less than 10%

Onsite

Work Location:

USA VA Vienna

Additional Work Locations:

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.

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, and use of your biometric data for identity verification and security purposes.

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Location & Eligibility

Where is the job

Usa Va Vienna

On-site at the office

Who can apply

Same as job location

About this job

Pay per year: $162,037–$219,227 a year; 9% below the $210,000 median for Machine Learning Engineer jobs on Jobera (870 salaries).
Posted: Today
Employer: has 1,830 open jobs on Jobera.