Senior Machine Learning Qa Developer

Autodesk

Toronto, Canada
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).
  • Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.

Matching Summary

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

Skills & Requirements

Must-have

  • ML quality strategy
  • model evaluation suites
  • Python test automation
  • CI/CD automation
  • ML services API testing
  • CAD software proficiency

Nice-to-have

  • data validation tooling
  • MLOps practices
  • cloud provider experience
  • experiment tracking tools
  • ambiguous areas
  • scalable and maintainable systems

Key Requirements

  • 7+ years professional experience
  • Bachelor's degree in Computer Science, Engineering, or equivalent
  • Strong programming skills in Python
  • Experience designing QA frameworks
  • Excellent problem-solving skills
  • Strong communication and collaboration skills

Work Rights

Not specified

Tailored Resume

Cover Letter