Base: $156,000 - $234,000 cad; bonus/equity: not s...
On-site
Scalable machine learning models
End-to-end ml lifecycle ownership
Python programming mastery
Architect, develop, and deploy scalable machine learning models and AI systems that directly impact Workday's core enterprise applications
Job Summary
Architect, develop, and deploy scalable machine learning models and AI systems that directly impact Workday's core enterprise applications.
Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, optimization, and continuous monitoring in a high-scale production environment.
Partner closely with Data Scientists, Software Engineers, Product Managers, and UX Designers to translate complex business problems into robust AI solutions.
Matching Summary
Architect, develop, and deploy scalable machine learning models and AI systems that directly impact Workday's core enterprise applications.
Salary
Base: $156,000 - $234,000 CAD; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Scalable machine learning models
End-to-end ML lifecycle ownership
Python programming mastery
PyTorch, TensorFlow, Scikit-learn, Hugging Face
Production ML model deployment
AWS or GCP cloud platforms
Docker, Kubernetes
Nice-to-have
Curious minds and courageous collaborators
Sun-drenched optimism and drive
Responsible AI principles
Cross-functional collaboration
Key Requirements
7+ years of industry experience
Bachelor's or Master's degree in CS, Math, Stats, or related quantitative field (or equivalent practical experience)