Senior Machine Learning Engineer

Kraft Heinz is seeking a Senior Machine Learning Engineer to join their Decision Intelligence Products & Platforms (DIPP) ML Engineering team. This role operates across core functions including Supply Chain, Manufacturing, Commercial, R&D, HR, and Marketing, driving value through scalable ML systems and robust MLOps practices. The position focuses on leading and developing the deployment, monitoring, and governance of machine learning models to ensure high-performance, production-grade AI systems across the enterprise.

The role combines technical expertise in MLOps and platform engineering with practical machine learning application. Key responsibilities include implementing end-to-end model management, establishing CI/CD pipelines, and developing predictive models that improve operational efficiency. The ideal candidate will have strong experience with ML frameworks, cloud platforms, and MLOps tools, particularly Azure DevOps and Snowflake.

Kraft Heinz offers a comprehensive benefits package including medical, dental, and vision coverage, 7% 401(k) matching, and performance-based bonuses. The company culture emphasizes ownership, agility, and endless curiosity, with a strong focus on diversity and inclusion through Business Resource Groups. This position offers an opportunity to work with iconic brands while driving innovation in the global food industry.

The role is based in Toronto and offers a competitive salary range of $100,300 - $125,400, along with additional performance bonuses and comprehensive benefits. The company provides a supportive environment for professional growth and development, making it an excellent opportunity for experienced ML engineers looking to make an impact in a global enterprise setting.