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The ideal candidate brings hands-on experience working at the intersection of DevOps, cloud infrastructure, and machine learning enablement, with a clear focus on automation, reliability, and secure delivery.\n Key Responsibilities\nBuild, manage, and optimize CI/CD pipelines using Azure DevOps and GitHub Actions for AI, data, and application workloads.\nDeploy and operate AI-enabled and data platforms on Azure Kubernetes Service (AKS) using Docker and Helm.\nProvision and manage Azure infrastructure including compute, networking, storage, and security services.\nEnable MLOps and data pipelines by supporting ETL workflows using Azure Data Factory and Databricks.\nImplement secure configuration and secrets management using Azure Key Vault.\nMonitor platform health, performance, and availability using Azure Monitor and Log Analytics.\nConduct performance and load testing using JMeter / BlazeMeter and drive optimization actions.\nCollaborate with ML engineers to support model packaging, 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