Johnson Controls International (JCI) is seeking a Machine Learning/Platform Engineer to join their AI and Data Platform team, focusing on building secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps.
Requirements
- Bachelor's or Master's in Computer Science, Engineering, or a related field.
- 5+ years of experience in ML engineering, MLOps, or platform engineering roles.
- Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps.
- Proven experience managing infrastructure as code with Terraform in production environments.
- Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience in Bash or PowerShell.
- Experience with Docker and Kubernetes, especially within Azure (AKS).
- Familiarity with CI/CD principles, model registry, and ML artifact management using Azure ML and Azure DevOps Pipelines.
- Working knowledge of vector databases, caching strategies, and scalable inference architectures.
- Systems thinking, excellent communication and documentation skills, and a strong problem-solving mindset.
Benefits
- Competitive salary
- Benefits package
- Opportunities for professional growth and development