The role involves leading the design and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities
Job Summary
The role involves leading the design and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.
Candidates must possess deep expertise in Python, agentic systems, and large-scale dataset management to ensure model scalability and reliability.
Workday offers a flexible work approach requiring at least half-time presence in the office or field while providing competitive compensation and benefits.
Matching Summary
The role involves leading the design 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: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package described as available
Skills & Requirements
Must-have
8+ years Machine Learning engineering experience
5+ years advanced Python development
Expertise in agentic systems and RAG
Proficiency with PyTorch or TensorFlow
Experience with MLOps and Kubernetes
Production-grade code and distributed systems
Nice-to-have
Mentoring and coaching engineers
Architectural thinking skills
Strong communication with stakeholders
Curious minds and courageous collaborators
Key Requirements
Bachelor's degree in Computer Science or related discipline
8+ years professional ML/AI engineering experience
5+ years experience with advanced Python development