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Senior Machine Learning Engineer
Kraft Heinz
Original Job Summary
Overview
Kraft Heinz is seeking a Senior Machine Learning Engineer. As part of the DIPP – Decision Intelligence Products & Platforms ML Engineering team, you will drive value through scalable ML systems and robust MLOps practices across Supply Chain, Manufacturing, Commercial, R&D, HR, and Marketing.
MLOps & Model Lifecycle Automation
Lead end-to-end model management including versioning, testing, deployment, monitoring, and CI/CD pipeline establishment.
- Implement model monitoring using Aporia for performance, bias, and drift.
- Create governance frameworks ensuring secure and scalable deployments.
ML Platform Engineering & Architecture
Contribute to designing the internal ML platform with reusable components and documentation to ensure robust experimentation and model auditability.
Applied Machine Learning
Develop, deploy, and operationalize predictive models improving efficiency, forecasting demand, and managing risks, while collaborating closely with data scientists and SMEs.
Benefits & Rewards
Enjoy a holistic wellness package, performance-based bonus, immediate benefits upon hire, and a variety of support programs tailored for employees and their families.
Location
This position is located at Toronto - Queen's Quay on the Headquarters campus.
Key skills/competency
- MLOps
- Machine Learning
- CI/CD
- Model Governance
- Aporia
- TensorFlow
- PyTorch
- Cloud (AWS/Azure/GCP)
- Snowflake
- Responsible AI
How to Get Hired at Kraft Heinz
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to ML engineering and MLOps practices.
- Highlight relevant experience: Emphasize production-scale ML projects.
- Research Kraft Heinz: Investigate company values and innovations.
- Prepare for technical interviews: Review CI/CD, tensor frameworks, and cloud platforms.