MLOps Engineer/Lead - Vertex AI

Job Description :Role : ML DevOps EngineerWork 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.- 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.Education :- UG: Any GraduatePreferred Skills :- GCP Cloud, Vertex Ai, ML DevOps, ML Deployment, Jenkins, DevOps, Development and Deployment, Docker, Ci/Cd, ML Flow, Machine Learning, Kubernetes. (ref:hirist.tech) .