Principal MLOPs Engineer (Canada)

toronto, on, Canada • Posted June 05, 2026

Job Type: Full-time
Location: toronto, on
Posted: June 05, 2026
Category: Engineering
Application Deadline: July 15, 2026

Role Description

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About the Role:
We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.
What you will be doing:

  • Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models
  • Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions
  • Own t...

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