ML Engineer

Johnson Controls is seeking an ML Engineer to build and manage scalable ML and generative AI infrastructure on Azure. This role involves developing end-to-end ML/LLM pipelines, operationalizing AI solutions, and managing infrastructure as code using Terraform and Azure DevOps. You will collaborate with data scientists and product teams to deliver production-ready AI features and ensure the security, scalability, and reliability of ML deployments.

• Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps
• Operationalize LLMs and generative AI solutions with focus on automation, security, and scalability
• Develop and manage infrastructure as code using Terraform for Azure resources
• Design highly available and performant serving environments for LLM inference
• Build reusable Azure DevOps pipelines for deploying ML assets
• Collaborate with Data Scientists, Cloud Engineers, and Product Teams