Elevate machine learning systems at Scientific Games as a Senior Machine Learning Engineer based in Toronto. Design and implement a pioneering ML platform architecture for enhanced data science capabilities. In this pivotal role at Scientific Games, you'll shape the organization's first machine learning platform as part of a team-oriented team.

Your expertise will drive the creation of self-service deployment frameworks, allowing Data Scientists to effectively implement their models independently. This role emphasizes innovation, engineering standards, and reusable tools, setting the foundation for future growth. Key Responsibilities:
Define ML platform architecture and phased implementation roadmap
Build frameworks for independent deployment by Data Scientists




Architect model lifecycle tooling and reusable capabilities
Establish engineering standards for CI/CD and infrastructure
Mentor Senior MLEs to enhance software quality and architecture Requirements:
Master’s or Bachelor’s degree with relevant depth
Over 5 years in ML engineering or platform architecture
Proven experience in building self-service ML platforms
Solid Docker, Kubernetes, and cloud-native ML experience
Demonstrated ability to lead technical direction and mentor teams Shape the future of ML solutions at Scientific Games by leveraging your architecture expertise and leadership in Toronto.

📌 Senior Machine Learning Engineer Toronto Montreal
🏢 Scientific Games
📍 Montreal