Description
Intuitive is hiring an MLOps Infrastructure Engineer to design, build, and maintain production infrastructure and tools across the machine learning lifecycle. The role focuses on Kubernetes, GPU node health, ML orchestration, artifact and dataset storage, CI/CD pipelines, migration playbooks, runbooks, disaster recovery, and incident response. Candidates need at least three years of infrastructure, DevOps, or MLOps experience, production Kubernetes expertise, scripting and infrastructure-as-code skills, distributed storage experience, and a bachelor’s or master’s degree in a relevant field.
