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machine learning distributed systems observability artifact_versioningπ Description
- Design, build, and improve systems connecting AI development to production.
- Package, version, promote, and rollback model artifacts.
- Create deployment and release paths for AI-backed services.
- Enable shadow-serving, staged rollout, and evidence-based release decisions.
- Strengthen runtime observability and debugging for model-backed systems.
- Automate evaluation to inform release decisions and improve safety.
π― Requirements
- Bachelor's degree in CS, Engineering, or related field.
- 2-6 years of software engineering shipping production infra.
- Proven ability to write maintainable production code and debugging complex issues.
- Experience in cross-functional environments with evolving requirements.
- Expertise in reproducibility, operability, and safe rollout.
π Benefits
- Competitive salary and comprehensive benefits.
- Cutting-edge AI tools and training programs.
- Inclusive offices and collaborative culture.
- Great Place to Work recognition.
- Ontario pay transparency range posted.
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