Join Scientific Games as a Staff Machine Learning Platform Architect in Toronto, transforming how Data Scientists deploy models. Lead the development of self-service machine learning solutions.This role focuses on architecting the foundational machine learning platform at Scientific Games, enabling Data Scientists to harness their capabilities for model deployment and experimentation. You will establish engineering standards, create reusable tools, and guide a team of engineers.



The impact of your work will be measured by the efficiency and independence of model deployment across the organization.Key Responsibilities:Design target architecture for the ML platformCreate self-service deployment and orchestration frameworksDevelop observability and rollback capabilities for modelsMentor teams in software engineering quality and architecturePartner with Data Science leaders for streamlined processesRequirements:Master's degree in relevant STEM field or equivalent5+ years in ML or large-scale production systemsExperience with Docker, Kubernetes, and cloud-native setupsFamiliarity with ML lifecycle tooling and CI/CD strategiesLeadership experience in architecture and mentoring rolesTransform Scientific Games' ML landscape by applying your skills in Toronto.#J-18808-Ljbffr

📌 Staff Machine Learning Platform Architect (Montreal)
🏢 Scientific Games
📍 Montreal