Sr Machine Learning Engineer

Workday

Toronto, ON, CA
Base: $156,000 - $234,000 cad; bonus/equity: may b...
Fully remote
Designing and deploying agentic systems
Building and scaling production ml models
End-to-end machine learning pipeline (mlops)
Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities

Job Summary

  • Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.
  • Design and implement the end-to-end machine learning pipeline (MLOps), ensuring model scalability, reliability, and consumption via robust APIs.
  • Apply machine learning and distributed systems principles in production to address model scalability, concurrency, fault tolerance, and performance challenges.

Matching Summary

Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.

Salary

Base: $156,000 - $234,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, and annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • designing and deploying agentic systems
  • building and scaling production ML models
  • end-to-end machine learning pipeline (MLOps)
  • large-scale datasets and feature engineering
  • Python development and asynchronous programming
  • Unix systems and cloud platforms (AWS/GCP)
  • containerized workloads and orchestration (Docker, Kubernetes)

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • ownership mindset and independent execution
  • architectural thinking and practical solutions

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

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