Senior ML Engineer — TS/SCI + Poly, Cloud & MLOps

General Dynamics Information Technology (GDIT); Vienna (VA); On-site; USD 162,000 - 219,000; Full time

Benefits offered by this job

401K with company match

Comprehensive health plan

Paid time off

Job summary

General Dynamics Information Technology (GDIT) is seeking an experienced Machine Learning Engineer to design, build, and operate mission-grade AI/ML solutions with production REST services and robust data pipelines. You will lead the entire model lifecycle and ensure secure delivery in accredited cloud environments.

You will deploy AI services into enterprise applications, implement modern DevSecOps practices, and work on data governance, encryption, and cross-domain data movement in a Tyson's,

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, certifications or training, or work experience.
• 10+ years of related experience.
• Security clearance: TS/SCI with Polygraph.
• Location: Tyson's, VA (On Customer Site).
• US Citizenship Required.

Responsibilities

• Design, build, and operate mission-grade AI/ML capabilities with production REST services and data pipelines.
• Lead end-to-end model lifecycle from data management to deployment and monitoring.
• Integrate AI services into enterprise applications with secure, accredited cloud environments.
• Develop scalable data pipelines and orchestrate CI/CD for ML workloads.

Skills

Artificial Intelligence

Machine Learning

AWS KMS

REST

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

CloudFormation

Job description

General Dynamics Information Technology (GDIT) is seeking an experienced Machine Learning Engineer to design, build, and operate mission-grade AI/ML solutions with production REST services and robust data pipelines. You will lead the entire model lifecycle and ensure secure delivery in accredited cloud environments.

You will deploy AI services into enterprise applications, implement modern DevSecOps practices, and work on data governance, encryption, and cross-domain data movement in a Tyson's,