AI MLOps Engineer - Azure

AI Engineer – MLOps / AIOps (Azure)

Location: Mumbai (Hybrid, 3 days from office)

Experience: 3–8 Years

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 fast-growing global AI practice
Exposure to enterprise-scale AI implementations
Strong learning and growth environment
Opportunity to work with global stakeholders and leadership teams