Join Scientific Games in Toronto as a Lead Machine Learning Engineer. Design and build a robust platform architecture empowering Data Scientists to take charge of their deployments. In this pivotal role, you will create the foundational architecture for the company’s ML platform.

This position entails establishing standards, developing reusable tooling, and facilitating self-service practices that allow Data Scientists to experiment and deploy models effectively. Your work will enhance their operational velocity while reducing friction. Key Responsibilities:

- Create the target ML platform architecture
- Build frameworks for independent model deployment by Data Scientists
- Architect features for observability and rollback capabilities




- Define deployment safety protocols and testing workflows
- Mentor engineers and influence platform engineering standards Requirements:
- Educational background in Computer Science or related field
- 5+ years in ML engineering or platform roles
- Experience with model lifecycle and cloud-native ML systems
- Proficiency in Docker and Kubernetes for automation
- Strong mentorship and cross-functional collaboration skills Lead the architectural evolution at Scientific Games to foster creative ML practices.

📌 Lead Machine Learning Platform Engineer (Montreal)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Montreal