MLOps Engineer

5 - 10 years

5 - 14 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Build automated ML pipelines for training, validation, deployment, and monitoring using Vertex AI Pipelines, Kubeflow, or TFX

  • Leverage Vertex AI Workbench, Training, and Experiments for reproducible, collaborative model development
  • Deploy, manage, and monitor models using Vertex AI Model Registry, Model Monitoring, and Prediction Endpoints
  • Collaborate with Data Scientists to productionize notebooks and prototypes into scalable ML services
  • Monitor model performance, detect data/model drift, and ensure data quality using Vertex AI Monitoring
  • Containerize and orchestrate ML workloads using Docker and Kubernetes (GKE)
  • Build and maintain robust CI/CD pipelines using Cloud Build, Jenkins, or Bitbucket Pipelines
  • Ensure strong version control, security, and compliance across the ML lifecycle
  • Maintain comprehensive documentation, templates, and artifacts to enable reproducibility, governance, and fast onboarding

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