Platform Engineer: AI/ML DevOps & Internal Platform

Huron; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Job summary

Huron in Chicago seeks an experienced Manager-level AI Platform Engineer to build and run scalable ML pipelines, automate testing, and deploy models into production.

You will set engineering and security standards, provision environments, and create reusable components to accelerate new pods. Requires 5–8 years in ML/AI platforms and proven leadership.

Join a team valuing practical delivery, cloud experience (AWS/Azure), Python, containers, and IaC to drive transformative change.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or related field.
• 5–8 years in ML/AI platforms or MLOps.
• 1–2 years in leadership roles.
• Hands-on experience running AI systems in production.
• Strong Python proficiency.

Responsibilities

• Build and run CI/CD pipelines with automated testing across pods.
• Provision environments for the pods' build environments.
• Deploy and monitor the models and agents in production.
• Set technical and security standards for every pod.
• Build reusable components so new pods start ahead of the prior one.

Skills

Internal developer platforms

AI testing in production

Healthcare / data security (HIPAA/FERP

AWS/Azure/Kubernetes

Strong Python

Education

Bachelor's degree in CS/Engineering or related field

Tools

Docker

Infrastructure as Code

Job description

Huron in Chicago seeks an experienced Manager-level AI Platform Engineer to build and run scalable ML pipelines, automate testing, and deploy models into production.

You will set engineering and security standards, provision environments, and create reusable components to accelerate new pods. Requires 5–8 years in ML/AI platforms and proven leadership.

Join a team valuing practical delivery, cloud experience (AWS/Azure), Python, containers, and IaC to drive transformative change.