Senior ML/Ops Engineer – TS/SCI Cleared, Real-Time AI

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

Benefits offered by this job

401K with company match

Comprehensive health and wellness

Internal mobility team

Professional growth opportunities incl

Cutting-edge technology

Paid vacation and holidays

Job summary

General Dynamics Information Technology is seeking an experienced ML/Ops Engineer to deploy, fine-tune, and monitor production ML models at a customer site near Tysons Corner. You will support ETL, data mapping, analytics, and systems maintenance, working in a fast-paced environment with a strong emphasis on data science principles and governance.

The role requires a TS/SCI with Polygraph clearance and ~15+ years of related experience, with hands-on skills in Docker, Kubernetes, CI/CD, and

Qualifications

• Active TS/SCI clearance with Polygraph
• 15+ years of related experience
• Develop and manage infrastructure for model training, deployment and serving
• Containerization and orchestration of ML services (Docker, Kubernetes)
• Build and maintain CI/CD pipelines for ML models and data workflows
• Collaborate with data scientists, data engineers, and software developers
• Troubleshoot production issues for reliability, scalability and cost
• Document processes and best practices for ML operations
• Automate model packaging, versioning, testing and releases
• Implement monitoring for model performance, data quality, drift, latency, and system health
• Maintain reproducible environments and experiment tracking
• Support data and model governance, security, access controls, and auditability
• Location: At Customer Site - near Tysons Corner

Responsibilities

• Create and maintain custody of production machine learning models across a variety of tasks, including audio extraction, object recognition, NLP, and other 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 ETL, data mapping, analytics, operations, databases, and maintenance of data and associated systems

Skills

Analytics

Data Extraction

Data Modeling

Model Development

Tools

Docker

Kubernetes

Job description

General Dynamics Information Technology is seeking an experienced ML/Ops Engineer to deploy, fine-tune, and monitor production ML models at a customer site near Tysons Corner. You will support ETL, data mapping, analytics, and systems maintenance, working in a fast-paced environment with a strong emphasis on data science principles and governance.

The role requires a TS/SCI with Polygraph clearance and ~15+ years of related experience, with hands-on skills in Docker, Kubernetes, CI/CD, and