ML DevOps Engineer

Responsibilities

Designing, building, and operating AI/ML infrastructure, including GPU cluster and Kubernetes management, model registry, inference serving, and data pipelines, while maintaining reproducible CI/CD and configuration-managed environments. Providing platform services, onboarding, support, and capacity planning; deploying and tuning open-weight models on owned hardware; applying security-by-design; and mentoring junior team members.