Sr Machine Learning Engineer

Workday

Toronto, ON, Canada
Base: $156,000 - $234,000 cad; bonus/equity: not s...
On-site
Designing and deploying agentic systems
End-to-end machine learning pipeline (mlops)
Large-scale datasets for wrangling and feature engineering
As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday

Job Summary

  • As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday.
  • You will lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.
  • You will own ML models and systems through their full lifecycle, including deployment, monitoring, debugging, and ongoing operational improvements.

Matching Summary

As a Senior Machine Learning Engineer on the AI Core team, you will be primarily responsible for designing, building, and applying machine learning models and agentic systems that power AI-driven applications at Workday.

Salary

Base: $156,000 - $234,000 CAD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • designing and deploying agentic systems
  • end-to-end machine learning pipeline (MLOps)
  • large-scale datasets for wrangling and feature engineering
  • production-grade Python code
  • advanced Python development
  • machine learning frameworks (PyTorch, TensorFlow, Scikit-learn)

Nice-to-have

  • sun-drenched optimism and drive
  • curious minds and courageous collaborators
  • ownership mindset
  • mentor and coach other engineers

Key Requirements

  • 8+ years of professional Machine Learning / AI engineering experience
  • 5+ years of experience with advanced Python development
  • Bachelor’s degree in Computer Science, Machine Learning, or related discipline, or equivalent practical experience

Work Rights

Not specified

Tailored Resume

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