Job Description


Location: Concord, CA (100% Onsite)
Hire Type: Contract
Employment Eligibility: GC and USC


Role Summary

Seeking a Senior MLOps Engineer to build, deploy, and operate production-grade ML systems. This role focuses on automating the ML lifecycle, enabling scalable cloud deployments, and ensuring model reliability, monitoring, and governance in an enterprise environment.

Key Responsibilities

  • Build and maintain end-to-end ML pipelines using MLflow, Kubeflow, or Vertex AI

  • Automate model training, testing, deployment, monitoring, and retraining

  • Implement CI/CD workflows for model versioning and lifecycle management

  • Deploy ML workloads on Google Cloud Platform, AWS, or ...

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