Designing and supporting scalable machine learning platforms, the full-time California Licensed ML Ops Engineer will focus on building production-ready solutions across cloud and on-premises environments while leveraging expertise in MLOps, Kubernetes, and automation. Key responsibilities Design and implement scalable MLOps platforms and ML lifecycle workflows Manage and optimize cloud-native technologies and Kubernetes environments Ensure compliance with security and data protection best practices while maintaining system reliability Required qualifications 8+ years of experience in Platform Engineering, DevOps, MLOps, or related fields Strong experience with GCP (Google Cloud Platform) and cloud-native technologies Hands-on expertise in Kubernetes, including GKE and/or OpenShift Proficiency in Python for automation and platform development Experience with CI/CD pipelines and infrastructure automation
California Licensed ML Ops Engineer in workfromhome at Unknown Company
This position is listed as full time and onsite.