Found Description
This role is pivotal in enabling enterprise‑scale ML and generative AI capabilities by building secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps.
You’ll work at the intersection of ML, DevOps, and cloud engineering—building the foundation that supports real-time LLM inference, retraining, orchestration, and integration across JCI’s product and operations landscape.
How you will do it
ML Platform Engineering & MLOps (Azure‑Focused)
- Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.
- Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on automation, security, and scalability.
- Develop and manage infrastructure as code using Terraform , including provisioning compute clusters (e.g., Azure Kubernetes Service (AKS) , Azure Machine Learning compute