Ml Platform Engineer

Johnson Controls International (JCI)

Azure ml
Azure DevOps
Terraform
Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation

Job Summary

  • Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.
  • Develop and manage infrastructure as code using Terraform, including provisioning compute clusters, storage, and networking.
  • Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features.

Matching Summary

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation.

Skills & Requirements

Must-have

  • Azure ML
  • Azure DevOps
  • Terraform
  • Kubernetes (AKS)
  • Python (PyTorch, LangChain)

Nice-to-have

  • LLMOps
  • RAG pipelines
  • 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

Work Rights

Not specified

Tailored Resume

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