Ai/ml Engineer

Johnson Controls OpenBlue

Dallas, TX, USA
Base: $85,000 - $107,000; bonus/equity: not specif...
Azure ml
Azure DevOps
Terraform
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

Job Summary

  • 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.
  • This position includes a competitive benefits package.

Matching Summary

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.

Salary

Base: $85,000 - $107,000; Bonus/Equity: Not specified; Benefits: Competitive benefits package

Skills & Requirements

Must-have

  • Azure ML
  • Azure DevOps
  • Terraform
  • Kubernetes (AKS)
  • Python (PyTorch, LangChain)
  • CI/CD pipelines

Nice-to-have

  • Systems thinker
  • Cost optimization
  • Scalability patterns
  • High-availability deployments
  • Smart buildings
  • IoT
  • Edge-AI

Key Requirements

  • 5+ years of experience in ML engineering, MLOps, or platform engineering
  • Bachelor’s or Master’s in Computer Science, Engineering, or related field
  • Experience deploying ML models on Azure
  • Experience managing infrastructure as code with Terraform
  • Experience with Docker and Kubernetes

Work Rights

Not specified

Tailored Resume

Cover Letter