MLOps Platform Engineer

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.