Job Description
Elevate AI solutions as a Machine Learning Engineer with Workday in Toronto. This position combines architecture, development, and deployment of advanced machine learning systems in a hybrid work environment.
At Workday, you will need 7+ years in software engineering, focusing on applied machine learning and deep learning. You will design scalable machine learning models and lead the full lifecycle from data extraction to continuous monitoring. Collaborating closely with cross-functional teams, you’ll translate complex problems into effective AI solutions.
Key Responsibilities:
• Architect and develop scalable machine learning models
• Own the ML lifecycle and deployment in production
• Collaborate with data scientists and engineers
• Advocate for technical excellence and MLOps processes
• Mentor junior engineers and shape team technical roadmap
Requirements:
• 7+ years of industry experience in software engineering
• Mastery of Python and software enginee...
At Workday, you will need 7+ years in software engineering, focusing on applied machine learning and deep learning. You will design scalable machine learning models and lead the full lifecycle from data extraction to continuous monitoring. Collaborating closely with cross-functional teams, you’ll translate complex problems into effective AI solutions.
Key Responsibilities:
• Architect and develop scalable machine learning models
• Own the ML lifecycle and deployment in production
• Collaborate with data scientists and engineers
• Advocate for technical excellence and MLOps processes
• Mentor junior engineers and shape team technical roadmap
Requirements:
• 7+ years of industry experience in software engineering
• Mastery of Python and software enginee...