Lead MLdevops/ MLops Engineer

Job Description: Business Title Lead MLDevops Developer/Engineer Years Of Experience Experience: 5–8 Years Location: Bangalore / Mumbai / Pune Key Skills Python Google Cloud Platform (GCP) Vertex AI MLOps Docker & Kubernetes CI/CD (GitHub Actions, Jenkins, Cloud Build) Terraform BigQuery MLflow / Kubeflow SQL 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.