About this role
Platform Engineer, AI Capability Center Hub at Huron. Location: Chicago or Toronto. Role: building pipelines, provisioning environments, deploying models Requirements: 5+ years in ML/AI platform or MLOps, 1–2 years leading, hands-on production AI systems, strong Python, experience with AWS and Azure, Docker, Kubernetes, and infrastructure as code. Category: Engineering Seniority: Senior Level Tools: AWS, Azure, Docker, Kubernetes, Python, CI/CD, infrastructure as code, AWS Machine Learning, Azure AI-102, CKA Commitment: Full Time Workplace: Remote Languages: English