MLOps Engineer

Role: MLOps Engineer Location: San Francisco, California Duration: Long Term Contract 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., GCP, AWS, Azure). Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining. Monitor model performance using observability tools and ensure compliance with model governan…