AI Engineer MLOps / AIOps (Azure (Mumbai)

AI Engineer MLOps / AIOps (Azure)

Location: Mumbai (5 days WFO)

Experience: 38 Years Interested candidates must contact S Krishnan @8309618146 About the Opportunity We are hiring for a large global advisory firm (Big 10) undergoing significant expansion in its AI and digital transformation practice. This is a high-growth environment focused on building enterprise-scale AI capabilities across global business functions. The role offers an opportunity to work on cutting-edge AI systems, driving deployment, scalability, and operational excellence of machine learning solutions in a structured and high-impact environment. Key Responsibilities Deploy, monitor, and manage AI/ML models on Azure cloud platforms Build and maintain MLOps pipelines for CI/CD and lifecycle management Ensure model performance, reliability, and scalability through monitoring and telemetry Manage model versioning, upgrades, and release processes Optimize AI systems for performance and cost efficiency Implement governance, security, and audit controls for AI deployments Collaborate with data scientists, developers, and cloud teams Required Skills & Experience 3+ years in MLOps / AIOps / ML Engineering Strong experience with Azure ML, Data Lake, Synapse, App Services, Cosmos DB Experience with CI/CD tools (GitHub Actions / Azure DevOps) Strong understanding of ML lifecycle, deployment, and monitoring Proficiency in Python and data workflows Good to Have Experience with GenAI / LLM workflows / prompt engineering Knowledge of model evaluation, A/B testing, and performance tuning Exposure to model observability and incident management Why Join Work with a quick-growing global AI practice Exposure to enterprise-scale AI implementations Strong learning and growth environment Opportunity to work with global stakeholders and leadership teams Apply on Kit Job: kitjob.in/job/4na4gv