Become a part of the innovative team at Scientific Games as a Machine Learning Engineer focused on platform development in Toronto. Craft the architecture for a transformative ML model deployment framework. In this essential role at Scientific Games, you will directly impact the success of the organization’s machine learning capabilities.

Your responsibilities will include developing self-service frameworks that empower Data Scientists and establishing robust engineering standards across the platform. This position prioritizes creating reliable tools that streamline deployment workflows and enhance overall productivity. Key Responsibilities:

- Define the phased roadmap for the ML platform architecture
- Architect self-service model deployment capabilities




- Establish CI/CD and testing standards for ML tools
- Design primitives for experimentation and optimization use cases
- Mentor engineering teams to elevate platform thinking Requirements:
- Master’s or Bachelor's in STEM fields with relevant depth
- 5+ years of hands-on ML engineering or platform experience
- Solid expertise in Docker, Kubernetes, and MLML tools
- Demonstrated experience with ML deployment frameworks and tooling
- Proven leadership in technical direction and team mentorship Drive innovation in machine learning at Scientific Games and lead the way for Data Scientists in Toronto.

📌 Machine Learning Engineer Platform Development (Montreal)
🏢 Scientific Games
📍 Montreal