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Senior Machine Learning Engineer at Scientific Games - ApplyBlast

Senior Machine Learning Engineer

Scientific Games

2 months ago

3.9 on Glassdoor

Toronto, Ontario, Canada

Hybrid

Full Time

Senior

0 applicants

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About this role

Scientific Games is seeking a Senior Machine Learning Engineer to build the foundations of its machine learning platform from the ground up. The role focuses on creating self-service ML tooling and golden paths that enable Data Scientists to independently deploy, monitor, and iterate on models in production. This position involves partnering with cross-functional teams to establish reusable ML infrastructure, deployment workflows, and observability standards.

Responsibilities

Build reusable self-service tooling for model packaging and deployment
Design CI/CD pipelines for automated training and production promotion
Establish golden-path templates and observability standards for ML systems

Skills

Qualifications

Master’s degree in Computer Science, Engineering, Machine Learning, Software Engineering, or another related STEM fieldBachelor’s degree in a related STEM field with strong equivalent industry depth

About Scientific Games

scientificgames.com

Headquarters

Dover, Delaware, United States

Company Size

1-10 employees

View Profile

Scientific Games is a global lottery company and trusted partner to lotteries in more than 50 countries, offering innovative scratch-off and draw games, cutting-edge retail and digital technologies, and end-to-end partner services. With over 50 years of experience, the company provides sports betting solutions, iLottery platforms, point-of-sale systems, and data-driven analytics to drive lottery performance. Headquartered in Alpharetta, Georgia, Scientific Games serves customers across six continents and is recognized as the world's most trusted lottery company.