Job Description

?? Job Title: Azure MLOps Engineer\n?? Location: [Mumbai / Pune / Bangalore / Hyderabad – Hybrid]\n?? Experience: 4–6 Years\n?? Employment Type: Full-Time\n\n?? About the Role\n\nWe are seeking a skilled Azure MLOps Engineer to design, implement, and manage scalable machine learning pipelines and deployment frameworks. The ideal candidate will have strong experience in Azure MLOps ecosystem, enabling seamless integration between data science models and production systems.\n\nYou will play a critical role in operationalizing ML models, ensuring reliability, scalability, and cost efficiency across the lifecycle.\n\n??? Key Responsibilities\nDesign, implement, and manage end-to-end ML pipelines using Azure ML, Databricks, and PySpark\nBuild and maintain CI/CD pipelines using Bitbucket, Jenkins, and integrate SonarQube for code quality and security\nDeploy and manage ML models using Azure Kubernetes Service (AKS) ensuring scalability and high availability\nDevelop reusable ML pipeline templates to standardize deployment and improve efficiency\nDesign and manage secure and scalable APIs for ML model consumption\nMonitor model performance including data drift, model accuracy, and data refresh cycles\nOptimize ML pipelines for performance and cost efficiency\nImplement cost monitoring strategies for training and deployment workloads\nCollaborate with Data Scientists, DevOps, and IT teams for smooth model deployment and operations\nMaintain detailed documentation for ML workflows, pipelines, and best practices\n?? Technical Expertise\nStrong hands-on experience with:\nAzure Machine Learning (Azure ML)\nAzure Databricks & PySpark\nAzure Kubernetes Service (AKS)\nExperience with:\nCI/CD tools (Jenkins, Bitbucket)\nCode quality tools (SonarQube)\nKnowledge of:\nAPI development and integration\nContainerization (Docker)\nMonitoring and logging frameworks\n?? Required Skills & Qualifications\n4–6 years of experience in MLOps / ML Engineering roles\n2–3 years of hands-on experience with Azure MLOps technologies\nStrong understanding of ML lifecycle and deployment pipelines\nExperience with model monitoring, drift detection, and optimization\nStrong problem-solving and analytical skills\nExcellent communication and collaboration abilities\n?? Additional Expectations\nAbility to work in cross-functional teams and Agile environments\nFocus on scalability, reliability, and automation\nStrong attention to detail and engineering best practices\n?? Why Join Us?\nWork on cutting-edge MLOps and cloud-based AI systems\nOpportunity to build scalable ML platforms and solutions\nCollaborative and innovation-driven environment\n?? Apply Now\n\n?? Email: Bitts.India@gmail.com\n?? Contact: 9834898276\n\nInterested candidates can share their profiles via email or connect directly for more details.