Azure ML Platform Engineer — MLOps for LLM Pipelines

Alloy Enterprises; Mexico; Hybrid; PHP 7,299,000 - 9,124,000; Full time

Job summary

Johnson Controls is seeking an experienced ML Platform Engineer to design and operate end-to-end ML/LLM pipelines on Azure ML, with robust CI/CD using Azure DevOps. You will automate infrastructure with Terraform, ensure security and scalability, and collaborate with data scientists and cloud engineers to deliver enterprise AI features.

The role requires deep expertise in Azure native ML tooling, containerized environments, and scalable inference architectures, including AKS, Redis caches, and

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• 5+ years of ML engineering, MLOps, or platform engineering experience.
• Strong experience deploying ML models on Azure using Azure ML and Azure DevOps.

Responsibilities

• Build end-to-end ML/LLM pipelines on Azure ML with Azure DevOps for CI/CD, testing and release automation.
• Operationalize LLMs and generative AI with focus on automation, security, and scalability.
• Design infrastructure as code using Terraform for AKS, storage, networking; ensure RBAC and audit trails.

Skills

Python

Azure

Terraform

Azure ML

Azure DevOps

Docker

Kubernetes

LangChain

Semantic Kernel

PyTorch

Transformers

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

Azure Functions

App Services

AKS

Redis

FAISS

Terraform

Job description

Johnson Controls is seeking an experienced ML Platform Engineer to design and operate end-to-end ML/LLM pipelines on Azure ML, with robust CI/CD using Azure DevOps. You will automate infrastructure with Terraform, ensure security and scalability, and collaborate with data scientists and cloud engineers to deliver enterprise AI features.

The role requires deep expertise in Azure native ML tooling, containerized environments, and scalable inference architectures, including AKS, Redis caches, and