Director Ml Platform Engineering

RBC Borealis

Toronto, Canada
Hybrid
Mlops and devops automation
Designing and implementing ml infrastructure
Python, bash, or javascript proficiency
This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise

Job Summary

  • This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.
  • Your responsibilities include: Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications.
  • We care about seeing each other reach full potential; A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable.

Matching Summary

This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

Skills & Requirements

Must-have

  • MLOps and DevOps automation
  • designing and implementing ML infrastructure
  • Python, Bash, or JavaScript proficiency
  • UNIX operating system knowledge
  • AWS and Azure cloud environments
  • PyTorch, TensorFlow familiarity

Nice-to-have

  • progressive thinking and collaboration
  • coaching and managing opportunities
  • making a lasting impact

Key Requirements

  • Strong distributed and Machine Learning systems experience
  • Experience with Jenkins, GitHub actions
  • Experience with AirFlow, KubeFlow, Dagster, Flyte, or MetaFlow
  • Experience building and deploying hybrid environments
  • Professional software engineering best practices

Work Rights

Not specified

Tailored Resume

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