Job Description

?? We’re Hiring: Sr. MLOps Engineer\n?? Location: Open / Hybrid (as per project)\n?? Experience: 5+ Years\n?? Employment Type: Full-Time\n?? Job Overview\nWe are seeking a Senior MLOps Engineer to design, automate, and manage the lifecycle of machine learning models on Microsoft Azure. This role focuses on building scalable, secure, and cost-efficient ML infrastructure, bridging the gap between data science and production engineering.\nYou will play a key role in developing a plug-and-play deployment framework to ensure ML solutions are robust, high-performing, and production-ready.\n?? Key Responsibilities\n?? Pipeline Architecture & Automation\nDesign and manage end-to-end ML pipelines using Azure ML, Databricks, and PySpark\nBuild and maintain CI/CD pipelines using GitHub Actions\nIntegrate SonarQube for code quality and security enforcement\nDevelop reusable, modular ML deployment frameworks and templates\n?? Deployment & Orchestration\nContainerize and deploy ML models using Docker and Azure Kubernetes Service (AKS)\nDesign and manage secure APIs for model consumption\nContribute to overall solution architecture ensuring scalability and modularity\n?? Optimization & Governance\nManage model lifecycle, including monitoring, optimization, and data drift detection\nImplement automated data validation and refresh checks\nOptimize infrastructure usage through cost engineering strategies\nMaintain comprehensive technical documentation for workflows and pipelines\n?? Collaboration\nAct as a bridge between Data Scientists, DevOps, and IT teams\nEnsure seamless model deployment across Dev, QA, and Production environments\nCollaborate in a fast-paced, cross-functional environment\n??? Required Qualifications\nBachelor’s degree in Engineering, Computer Science, or related field\n5+ years of experience with strong expertise in Azure MLOps ecosystem\nProven experience deploying ML models in production environments at scale\n?? Technical Skills\nHands-on experience with Azure Machine Learning & Azure Databricks\nStrong knowledge of Kubernetes (AKS) and API-based deployment\nExperience with Docker and containerization\nGood understanding of DevOps practices and CI/CD pipelines\nFamiliarity with SonarQube or similar code quality tools\n?? Soft Skills\nStrong analytical and problem-solving abilities\nExcellent communication and collaboration skills\nAbility to work in a dynamic and fast-paced environment\n? Desired Qualifications\nUnderstanding of solution architecture principles\nAzure certifications such as:\nAI-900\nDP-100\nAZ-305\n?? Key Highlights\nWork on enterprise-scale ML infrastructure\nExposure to cutting-edge cloud and MLOps technologies\nOpportunity to build scalable, production-grade ML systems\n?? Apply Now\n?? Email: eze589732@gmail.com\n?? Contact: +91 9834898276