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Mumbai-based mid-level MLOps role with 3+ years experience attracts moderate competition.
Core MLOps and Azure skills transfer across industries, though enterprise governance adds moderate specialization.
Explicit 3+ years MLOps requirement plus mandatory Azure ML and tooling makes selection highly selective.
Deploy, monitor, and maintain enterprise-grade AI models on Azure with telemetry for performance, drift, and availability.
Manage model versioning including APIs and UIs with structured rollout and rollback capabilities.
Implement and optimize MLOps pipelines using Azure ML and GitHub Actions ensuring compliant, secure, and governable AI deployments.
Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
Minimum 3 years of hands-on experience in MLOps and/or AIOps, specifically within Azure cloud environment.
Experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.
Preferred Location: Mumbai.
Experienced in operating AI and machine learning systems within large-scale enterprise or advisory contexts using Azure cloud.
Skilled in deploying secure, observable, and compliant AI solutions including change management and governance controls.
Familiar with continuous integration/deployment (CI/CD) of AI models and cost/performance optimization of inference pipelines.