Azure ML Platform Engineer — MLOps & LLM Infra

Johnson Controls; Irving (TX); On-site; USD 85,000 - 107,000; Full time

Job summary

A leading global technology provider is seeking a Machine Learning / Platform Engineer to join their AI and Data Platform team. This role focuses on building scalable and automated infrastructure on Azure, developing ML/LLM pipelines, and collaborating with data scientists and engineers. Candidates should have 5+ years of experience, especially in MLOps, with strong skills in Python, Terraform, and Azure DevOps. The position offers a competitive salary range of $85,000 - $107,000 and benefits.

Qualifications

• 5+ years of experience in ML engineering, MLOps, or platform engineering roles.
• Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps.
• Proven experience managing infrastructure as code with Terraform in production environments.

Responsibilities

• Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD.
• Develop and manage infrastructure as code using Terraform.
• Operationalize LLMs and generative AI solutions focusing on automation, security, and scalability.
• Design highly available environments for LLM inference using Azure Kubernetes Service.

Skills

ML engineering

MLOps

Platform engineering

Python

Terraform

Azure ML

Bash

PowerShell

Docker

Kubernetes

Education

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

Tools

Azure DevOps

Azure Kubernetes Service

Vector databases

Job description

A leading global technology provider is seeking a Machine Learning / Platform Engineer to join their AI and Data Platform team. This role focuses on building scalable and automated infrastructure on Azure, developing ML/LLM pipelines, and collaborating with data scientists and engineers. Candidates should have 5+ years of experience, especially in MLOps, with strong skills in Python, Terraform, and Azure DevOps. The position offers a competitive salary range of $85,000 - $107,000 and benefits.