Job Description

We’re Hiring – Azure MLOps Engineer | Brainhunter\n?? Location: Mumbai / Pune / Bangalore / Hyderabad (Hybrid)\n?? Experience: 4–6 Years\n?? Job Type: Full-Time\n?? Job Summary\nWe are looking for a skilled Azure MLOps Engineer to design, implement, and manage scalable machine learning pipelines and deployment frameworks. This role focuses on operationalizing ML models and ensuring seamless integration between data science solutions and production systems with high reliability and efficiency.\n??? Key Responsibilities\nDesign 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\nDeploy and manage ML models on Azure Kubernetes Service (AKS)\nDevelop reusable pipeline templates for standardization and efficiency\nDesign and manage secure APIs for ML model consumption\nMonitor model performance including data drift, accuracy, and refresh cycles\nOptimize pipelines for performance and cost efficiency\nImplement cost monitoring strategies for ML workloads\nCollaborate with Data Scientists, DevOps, and IT teams\nMaintain documentation for ML workflows 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\nDocker and containerization\nMonitoring and logging frameworks\n?? Required Skills & Qualifications\n4–6 years of experience in MLOps / ML Engineering\n2–3 years of hands-on experience with Azure MLOps ecosystem\nStrong understanding of ML lifecycle and deployment pipelines\nExperience in 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 Agile teams\nStrong focus on scalability, reliability, and automation\nAttention to detail and adherence to engineering best practices\n?? Why Join Us?\nWork on cutting-edge MLOps and AI platforms\nOpportunity to build scalable ML systems and pipelines\nCollaborative and innovation-driven environment\n?? How to Apply\nSend your updated resume to:\n?? eze589732@gmail.com\n?? +91 9834898276