MLOps Engineer :: Bay area (Hybrid) :: F2F Interview (Local Preferred)

AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure). Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. Monitor model performance using observability tools and ensure compl…