AI/ML Engineer | TS/SCI Clearance | MLOps & Edge AI

DCCA; Chantilly (VA); On-site; USD 195,000 - 259,000; Full time

Benefits offered by this job

Healthcare

Retirement plan

Paid disability and life insurance

Education assistance

Wellness initiatives

Paid/unpaid leave

Job summary

DCCA is seeking an AI/ML Engineer in Virginia to deploy and operationalize ML models within secure government contexts. You will architect scalable MLOps pipelines, integrate NLP and deep learning into production services, and optimize models for real-time performance while adhering to RMF and NIST standards.

Ideal candidates have 5+ years in software engineering focused on AI/ML deployment, strong Python and Java/C++/Go skills, and experience with AWS SageMaker, Docker, and Kubernetes in a

Qualifications

• Active TS/SCI w/ Poly is required.
• 5+ years of hands-on software engineering deploying and operationalizing AI/ML models.
• Experience with AWS SageMaker and MLOps pipelines.
• Knowledge of RMF/NIST 800-53 security controls is a plus.

Responsibilities

• Architect, implement, and manage scalable MLOps pipelines in AWS GovCloud contexts.
• Integrate predictive models, NLP, and deep learning into production microservices.
• Optimize models for performance, latency, and scalability.
• Leverage ML for cybersecurity and defensive operations.
• Design Edge AI models and manage AI infrastructure with cloud-native services.
• Ensure compliance with RMF and federal data privacy guidelines.

Skills

AI/ML deployment

Python

Java/C++/Go

ML frameworks

Cloud/MLOps

TS/SCI w/ Poly

Education

Bachelors or masters in CS/AI/ML/Data Eng

Tools

AWS SageMaker

Docker

Kubernetes

Git/Jenkins/GitLab CI

Job description

DCCA is seeking an AI/ML Engineer in Virginia to deploy and operationalize ML models within secure government contexts. You will architect scalable MLOps pipelines, integrate NLP and deep learning into production services, and optimize models for real-time performance while adhering to RMF and NIST standards.

Ideal candidates have 5+ years in software engineering focused on AI/ML deployment, strong Python and Java/C++/Go skills, and experience with AWS SageMaker, Docker, and Kubernetes in a