Capgemini Looking For Mlops For Bangalore Location

Role & responsibilities

Mlops with Azure Databricks

Preferred candidate profile

MLOps Engineer having experience in design and implementation of scalable, secure, and production-grade ML platforms across multi-cloud environments (Azure).

The role involves architecting end-to-end ML lifecycle solutions, enabling reproducibility, governance, and operational excellence while working closely with data science, platform engineering, and cloud teams.

1. overall experience and dedicated MLOps / AI Platform Engineering experience
2. Kubernetes hands-on expertise
3. Python development experience
4. CI/CD implementation experience
5. Monitoring and observability experience
6. LLMOps implementation experience
7. LLMOps implementation experience