This role will partner with data scientists, ML engineers, and platform teams to design and deploy end-to-end AI/ML pipelines, advance AI integration, and ensure production-grade reliability for AI-driven products. Proven track record in MLOps/LLMOps, including CI/CD pipeline automation, model serving, monitoring, and governance, using modern AI infrastructure tools such as Docker, Kubernetes, Azure ML, MLflow, and Terraform.