MLOps Engineer/Lead - Vertex AI (India)

: Role : ML DevOps Engineer Work Location : Pune / Mumbai / Gurugram / Bangalore. Work Mode : Hybrid (1:00 PM - 10:00 PM) Interview Rounds : 3 Rounds (Virtual) 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. - Robust 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. Education : - UG: Any Graduate Preferred Skills : - GCP Cloud, Vertex Ai, ML DevOps, ML Deployment, Jenkins, DevOps, Development and Deployment, Docker, Ci/Cd, ML Flow, Machine Learning, Kubernetes. .