Platform Engineer, AI Capability Center Hub

Huron•Toronto, ON

38d•$140,000 - $170,000•Remote

About The Position

This person is a shared engineer who builds and runs the platform every pod reuses: the pipelines, testing, deployment and monitoring, plus reusable building blocks so each new pod starts further ahead. At Huron, we’re redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client’s challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work…together.

Requirements

5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading.
Hands-on running AI systems in production.
AWS and Azure, Docker, Kubernetes, infrastructure as code.
Strong Python.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice To Haves

Building internal developer platforms.
AI testing and monitoring in production.
Healthcare or higher education with data-security awareness (HIPAA, FERPA).
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA).

Responsibilities

Build and run the pipelines.
CI/CD with automated testing across the pods.
Provision the environments.
Set up and run the environments the pods build in.
Deploy and monitor the models and agents the pods put into production.
Set the standards for technical and security standards every pod builds to.
Build reusable parts so each new pod starts further ahead than the last.

Benefits

medical
dental
vision coverage
wellness programs
401(k) plan with a generous employer match
employee stock purchase plan
generous Paid Time Off policy
paid parental leave
adoption assistance
free annual health screenings and coaching
bank at work
on-site workshops
ongoing programs recognizing major events in the lives of our employees throughout the year