ML/Ops Engineer SME - TS/SCI w/Poly

General Dynamics Information Technology, Inc.; McLean (VA); On-site; USD 187,000 - 230,000; Full time

Job summary

General Dynamics Information Technology, Inc. is seeking an experienced ML/OPs Engineer to ensure the safety and security of our nation by deploying, monitoring, and improving production machine learning models.

You will handle ETL, data mapping, analytics, and maintenance of data systems to support mission-critical operations. The role requires an active TS/SCI with Polygraph clearance and at least 15 years of related experience, working with data scientists and engineers to deliver scalable ML

Qualifications

• Analytics, Data Extraction, Data Modeling, Model Development experience
• 15+ years of related experience
• US Citizenship Required: Yes

Responsibilities

• Deploy, fine-tune, and monitor production ML models in a production environment
• Provide ETL, data mapping, analytics, and maintenance of data systems
• Collaborate with data scientists, data engineers, and software developers to deliver operational ML solutions
• Troubleshoot production issues and optimize reliability, scalability, and cost

Skills

Analytics

Data Extraction

Data Modeling

Model Development

Tools

Docker

Kubernetes

Job description

Type of Requisition

Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None

Job Family

Data Science and Data Engineering

Job Qualifications

Skills: Analytics, Data Extraction, Data Modeling, Model Development Certifications: None Experience: 15 + years of related experience US Citizenship Required: Yes

Job Description

Ensure the safety and security of our nation as a ML/OPs Engineer at GDIT. You’ll apply the latest technology and provide operational support to deliver actionable intelligence for the Intelligence Community. Here, your work will have meaning and impact as you deliver your best every day. The ML/OPs Engineer will deploy, fine-tune, and monitor production machine learning models in a production environment. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation. This is a mission focused role requiring experience with deploying models in a production environment against real-time collection.

HOW ML/OPs WILL MAKE AN IMPACT

• Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks
• Optimize existing machine learning services to better utilize current GPU capabilities and assist with road mapping future GPU requirements
• Deploy machine learning models against streaming data, designed to provide near-real time analytics to augment decision making
• Improve data architecture decisions with data engineers to better stage data for continuous training models in production
• Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems

WHAT YOU’LL NEED TO SUCCEED

• The position requires an active TS/SCI with Polygraph security clearance
• The position requires fifteen (15+) years of related experience
• Develop and manage infrastructure for model training, deployment, and serving across on-prem environments
• Manage containerization and orchestration of ML services (e.g., Docker, Kubernetes)
• Build and maintain CI/CD pipelines for machine learning models and data workflows
• Collaborate with data scientists, data engineers, and software developers to operational ML solutions
• Troubleshoot production issues and optimize system reliability, scalability, and cost
• Document processes, standards, and best practices for ML operations
• Automate model packaging, versioning, testing, and release processes
• Implement monitoring for model performance, data quality, drift, latency, and system health
• Maintain reproducible environments and experiment tracking for model development
• Support data and model governance, including security, access controls, and auditability

Location: At Customer Site - near Tysons Corner

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

#GDITCareers #GDITPolyEvent #GDITEnhanced2026 #MissionPoly2026 #VA_2026Alumni #CJPost #Jet

The likely salary range for this position is $187,179 - $230,000.

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: None Telecommuting Options: Onsite Work Location: USA VA McLean 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, 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, and use of your biometric data for identity verification and security purposes.

About Our Work

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 Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world.

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