Ai/ml Engineer

JOHNSON CONTROLS

Dallas, TX, USA
$85,000 - $107,000; not specified; competitive ben...
Azure ml and azure devops
Terraform for infrastructure as code
Python for ml development
Build secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps to enable enterprise-scale ML and generative AI capabilities

Job Summary

  • Build secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps to enable enterprise-scale ML and generative AI capabilities.
  • Develop and manage end-to-end ML/LLM pipelines on Azure ML, operationalize LLMs, and implement robust model lifecycle management.
  • Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features and provide technical guidance on AI deployments.

Matching Summary

Build secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps to enable enterprise-scale ML and generative AI capabilities.

Salary

$85,000 - $107,000; Not specified; Competitive benefits package

Skills & Requirements

Must-have

  • Azure ML and Azure DevOps
  • Terraform for infrastructure as code
  • Python for ML development
  • Docker and Kubernetes on Azure
  • CI/CD for ML pipelines
  • Vector databases and RAG pipelines

Nice-to-have

  • Systems thinking and automation focus
  • Bridging platform and data science teams
  • Cost optimization and scalability patterns
  • Smart buildings and IoT exposure

Key Requirements

  • 5+ years ML engineering/MLOps/platform engineering
  • Bachelor's or Master's in Computer Science or related field
  • Experience deploying ML models on Azure
  • Experience managing infrastructure as code with Terraform
  • Proficiency in Python and Terraform
  • Experience with Docker and Kubernetes (AKS)
  • Familiarity with CI/CD, model registry, ML artifact management
  • Working knowledge of vector databases and inference architectures

Work Rights

Not specified

Tailored Resume

Cover Letter