About the role We are seeking an AI/ML Ops Engineer to build and manage scalable AI platforms, automate deployment pipelines, and ensure operational excellence across AI/ML workloads. The role combines MLOps, DevOps, and platform engineering expertise. Responsibilities Key Responsibilities Build and maintain AI/ML deployment platforms. Implement CI/CD pipelines for AI applications. Deploy, serve, and monitor machine learning and LLM models. Manage Kubernetes-based AI infrastructure. Establish experiment tracking and model governance processes. Enable observability and monitoring across AI systems. Optimize AI platforms for scalability, security, and reliability. Technical requirements Experience with Azure ML, SageMaker, Vertex AI, or Databricks. Hands-on expertise with Jenkins, GitHub Actions, ArgoCD, Kubeflow, or MLflow. Knowledge of Responsible AI and model governance frameworks. Preferred skills Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Generative AI->Generative AI for Data Analytics Education Bachelor of Engineering,Bachelor Of Technology (Integrated)