Become a part of the creative 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 architectureArchitect self-service model deployment capabilitiesEstablish CI/CD and testing standards for ML toolsDesign primitives for experimentation and optimization use casesMentor engineering teams to elevate platform thinkingRequirements:Master's or Bachelor's in STEM fields with relevant depth5+ years of hands-on ML engineering or platform experienceStrong expertise in Docker, Kubernetes, and MLML toolsDemonstrated experience with ML deployment frameworks and toolingProven leadership in technical direction and team mentorshipDrive innovation in machine learning at Scientific Games and lead the way for Data Scientists in Toronto.#J-18808-Ljbffr

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