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

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

T elecommuting Options:

Onsite

Work Location:

USA VA McLean

Additional Work Locations:

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