California Licensed ML Ops Engineer
Job Summary
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
Complete Job Description
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