MLOps Platform Engineer (Reston)

MLOps Platform Engineer- 3 Days onsite at Reston, VA

The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations capabilities. This role will play a key part in enabling scalable, reliable, and secure ML model development and deployment across our cloud and container platforms.

This is a hands-on engineering role requiring strong expertise in AWS, Kubernetes (EKS), CI/CD automation, containerization, and ML platform operations. The ideal candidate will have solid engineering fundamentals combined with practical knowledge of ML workflows, deployment patterns, and platform reliability.

Required Qualifications · 3+ years of hands-on experience with AWS services, including EKS, EC2, S3, IAM, CloudWatch, and ECR. · Strong experience operating and troubleshooting Kubernetes (preferably AWS EKS). · Proficiency in containerization (Docker) and orchestration concepts. · Strong programming/scripting experience in Python and Bash. · Experience building and managing CI/CD pipelines (GitLab or equivalent). · Familiarity with machine learning workflows, including training, inference, and model monitoring. · Experience with infrastructure-as-code (Terraform or CloudFormation). · Experience supporting production platforms, including incident management and root cause analysis.