Senior AI Engineering Manager - MLOps/AIOps/Azure

Job Title : Senior Manager AI Engineering (MLOps / AIOps Azure)

Location : Mumbai (5 Days Work from Office)

Experience : 8-15 Years

About the Opportunity :

We are hiring for a large global advisory firm (Big 10) undergoing rapid expansion in its AI and digital transformation practice. This role sits within a global AI function supporting enterprise-wide initiatives across multiple business units.

This is a high visibility leadership role focused on building and scaling AI platforms, ensuring production-grade deployments, and driving operational excellence across AI systems.

Key Responsibilities :

- Lead deployment and lifecycle management of AI and ML models on Azure platforms

- Design and implement MLOps pipelines for CI/CD, automation, and monitoring

- Ensure model performance, observability, and reliability through telemetry and alerts

- Drive model versioning, release management, and rollback strategies

- Optimize inference performance and cost efficiency

- Establish governance, audit, and security controls for AI systems

- Collaborate with data scientists, engineers, and business stakeholders

Required Skills and Experience :

- 8+ years in AI Engineering, MLOps, or ML Platform roles

- Strong hands-on experience with Azure ML, Data Lake, Synapse, and Cosmos DB

- Experience in CI/CD pipelines using Azure DevOps or GitHub Actions

- Strong understanding of ML lifecycle, deployment, monitoring, and scaling

- Proficiency in Python and data workflows

Good to Have :

- Experience in GenAI, LLM, RAG, or prompt engineering

- Knowledge of model evaluation, A/B testing, and performance tuning

- Exposure to model observability, incident management, and telemetry frameworks

Why This Role :

- Opportunity to lead enterprise-scale AI deployments

- Exposure to global stakeholders and leadership teams

- Work in a fast-growing AI practice with strong expansion plans