ML DevOps Engineer / Lead ML Ops Engineer

• Role: ML DevOps Engineer
• Work Location : Pune /Mumbai/ Gurugram /Bangalore.
• Work Mode: Hybrid (1:00 PM - 10:00 PM)
• Interview Rounds: 3 Rounds (Virtual)
• Experience: 510 Years

Responsibilities

• Design, build, and maintain scalable MLOps pipelines on GCP.
• Develop and deploy ML models using Vertex AI.
• Automate model training, deployment, monitoring, and retraining workflows.
• Build CI/CD pipelines for ML applications and services.
• Manage containerized deployments using Docker and Kubernetes.
• Implement Infrastructure as Code (Terraform) and cloud automation.
• Monitor model performance, drift, and production health.
• Collaborate with Data Scientists, ML Engineers, and Data Engineers to productionize ML solutions.
• Optimize cloud infrastructure for reliability, scalability, and cost efficiency.
• Ensure security, governance, and best practices across ML platforms.

Preferred Qualifications

• Experience with Vertex AI Pipelines, Feature Store, and Model Registry.
• Hands-on experience with GenAI/LLMs, RAG, Gemini, or Agentic AI.
• Exposure to BigQuery, Cloud Run, Dataflow, GKE, and Cloud Composer.
• Strong understanding of ML lifecycle, model monitoring, and observability.

Key Skills

• Python
• Google Cloud Platform (GCP)
• Vertex AI
• MLOps
• Docker & Kubernetes
• CI/CD (GitHub Actions, Jenkins, Cloud Build)
• Terraform
• BigQuery
• MLflow / Kubeflow
• SQL

Reach out to taiseen.s@talentdrive.in or whatsapp : 8333857341