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…