Ai/ml Engineer

JCI

Dallas, TX, US
Base: $85,000 - 107,000; bonus/equity: not specifi...
Azure ml and azure devops
Infrastructure as code with terraform
Ml/llm pipeline automation
Johnson Controls International (JCI) is looking for a Machine Learning / Platform Engineer to join our growing AI and Data Platform team

Job Summary

  • Johnson Controls International (JCI) is looking for a Machine Learning / Platform Engineer to join our growing AI and Data Platform team.
  • 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.
  • The position includes a competitive benefits package and offers opportunities to work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features.

Matching Summary

Johnson Controls International (JCI) is looking for a Machine Learning / Platform Engineer to join our growing AI and Data Platform team.

Salary

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

Skills & Requirements

Must-have

  • Azure ML and Azure DevOps
  • Infrastructure as code with Terraform
  • ML/LLM pipeline automation
  • Azure Kubernetes Service (AKS)
  • CI/CD for ML deployments
  • Python with PyTorch and Transformers
  • Model lifecycle management

Nice-to-have

  • LLMOps and prompt orchestration frameworks
  • Experience with vector databases
  • Smart buildings and IoT exposure
  • Governance and compliance knowledge
  • Excellent communication skills
  • Cost optimization and scalability patterns
  • Systems thinking mindset

Key Requirements

  • Bachelor’s or Master’s in Computer Science or related field
  • 5+ years in ML engineering or platform engineering
  • Proven production experience with Terraform
  • Experience deploying ML models on Azure
  • Certification in Azure or Terraform is a plus

Work Rights

Not specified

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