Johnson Controls International is seeking a Machine Learning / Platform Engineer to enable enterprise-scale ML and generative AI capabilities by building secure, scalable infrastructure on Azure
Job Summary
Johnson Controls International is seeking a Machine Learning / Platform Engineer to enable enterprise-scale ML and generative AI capabilities by building secure, scalable infrastructure on Azure.
The role involves building end-to-end ML/LLM pipelines, operationalizing generative AI solutions, and managing infrastructure as code using Terraform to support real-time LLM inference and integration.
Collaboration with Data Scientists, Cloud Engineers, and Product Teams is essential to deliver production-ready AI features and provide technical guidance on cost optimization and high-availability ML deployments.
Matching Summary
Johnson Controls International is seeking a Machine Learning / Platform Engineer to enable enterprise-scale ML and generative AI capabilities by building secure, scalable infrastructure on Azure.
Skills & Requirements
Must-have
Azure ML and Azure DevOps
Infrastructure as code with Terraform
Azure Kubernetes Service (AKS)
ML/LLM pipeline automation
Model lifecycle management
CI/CD for ML deployments
Nice-to-have
Experience with LLMOps and prompt orchestration
Knowledge of vector databases and caching strategies
Exposure to smart buildings and IoT
Strong communication and documentation skills
Systems thinking mindset
Cost optimization and scalability patterns
Key Requirements
Bachelor’s or Master’s in Computer Science or related field
5+ years in ML engineering or platform engineering
Proven experience with Terraform in production
Proficiency in Python and Terraform scripting
Experience with Docker and Kubernetes in Azure
Familiarity with Azure ML and Azure DevOps Pipelines