A leading global advisory firm (Big 10) is expanding its AI and digital transformation practice and is hiring an AI Engineer - MLOps / AIOps (Azure) in Bangalore / Mumbai (Hybrid - 3 days/week from office).

This is a production-focused MLOps role. You will deploy, monitor, and operate enterprise-scale machine learning systems on Microsoft Azure - not build models from scratch. If you live in CI/CD pipelines, model lifecycle management, and keeping ML systems reliable in production, this role is built for you.

What you'll do :

- Deploy, monitor, and manage AI/ML models on Azure cloud.

- Build and maintain MLOps pipelines for CI/CD and full model 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 engineering teams.

What you'll need :

- 3-8 years in MLOps / AIOps / ML Engineering.

- Hands-on Azure ML, Azure Data Lake, Synapse, App Services, Cosmos DB.

- CI/CD experience with Azure DevOps or GitHub Actions.

- Strong understanding of the ML lifecycle : deployment, monitoring, observability.

- Proficiency in Python and data workflows.

Good to have :

- GenAI / LLM workflows / prompt engineering.

- Model evaluation, A/B testing, performance tuning.

- Model observability and incident management.

Why join :

Work with a fast-growing global AI practice on enterprise-scale implementations, with strong learning, growth, and exposure to global stakeholders and leadership.