Senior Machine Learning Qa Developer

AUTODESK CONSTRUCTION CLOUD

Toronto, Canada
Base: $123,000 - $180,400; bonus/equity: annual ca...
Hybrid
Ml quality strategy
Model evaluation suites
Python test automation
Define ML quality strategy and acceptance criteria across data, model, and system levels

Job Summary

  • Define ML quality strategy and acceptance criteria across data, model, and system levels.
  • Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins).
  • Contribute to multi-team projects and codebases, ensuring code quality and consistency.

Matching Summary

Define ML quality strategy and acceptance criteria across data, model, and system levels.

Salary

Base: $123,000 - $180,400; Bonus/Equity: Annual cash bonuses, stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • ML quality strategy
  • model evaluation suites
  • Python test automation
  • CI/CD workflows
  • ML QA best practices
  • quality gates for pipelines

Nice-to-have

  • data validation tooling
  • ML frameworks
  • data pipelines orchestration
  • ML evaluation methods
  • cloud provider experience

Key Requirements

  • 7+ years of professional experience
  • Bachelor’s degree in Computer Science, Engineering, or equivalent
  • Strong programming skills in Python
  • Familiarity with popular CAD environments tooling
  • Experience designing QA frameworks

Work Rights

Not specified

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