ere at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits* and perks, DCPP, VRSP, and TFSA, Business Resource Groups (BRGs) to help foster diversity, inclusion and belonging for all employees and an industry-leading total rewards package that emphasizes a high discretionary bonus. Benefits begin immediately upon hire.
Senior Machine Learning Engineer at a Glance....
As a Senior Machine Learning Engineer at Kraft Heinz, you will be part of the DIPP - (Decision Intelligence Products & Platforms) ML Engineering team. This person will be Operating horizontally across core functions such as Supply Chain, Manufacturing, Commercial, R&D, HR, and Marketing, this team drives value through scalable ML systems and robust MLOps practices. You will lead and develop the deployment, monitoring, and governance of machine learning models, ensuring high-performance, production-grade AI systems across the enterprise.
What's on the menu?
MLOps & Model Lifecycle Automation
- Lead MLOps practices for end-to-end model management, versioning, testing, deployment, and monitoring, ensuring traceability and reproducibility
Implement model monitoring using Aporia to track performance, bias, and drift, and automate alerts and retraining workflows - Establish robust CI/CD pipelines and governance frameworks to support scalable and secure ML deployments
- Ensure models meet enterprise SLAs for reliability, security, and performance
ML Platform Engineering & Architecture
- Contribute to the design and evolution of the internal ML platform with reusable components, documentation, and engineering standards
- Build shared infrastructure that supports experimentation, model reproducibility, auditability, and scale across domain.
A
pplied Machine Learning
- Develop, deploy and operationalize predictive models that improve operational efficiency, forecast demand, and manage business risks
- Work closely with data scientists and SMEs to translate prototypes into production-grade ML systems
Recipe for Success - apply now if this sounds like you!
- Bachelor's or Master's in Computer Science, Engineering, or a related field
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- 3+ years of experience in ML engineering and MLOps with a focus on production-scale systems
- Strong knowledge of MLOps tools (e.g., AzureML, MLflow, Kubeflow, Airflow), Model Observability (e.g. Aporia) and cloud platforms (AWS, Azure, GCP)
- Deep understanding of model governance, drift detection, and Responsible AI standards
- Proficiency in CI/CD for ML using Azure DevOps practices
- Experience with Snowflake or similar platforms for data pipeline integration
- Ability to build and maintain strong relationships with stakeholders, ensuring effective communication, collaboration, and alignment on shared goals
Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz' strategy and values.
New Hire Base Salary Range:
$100,300.00 - $125,400.00
Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors
Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family's needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
You'll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:
- Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
- Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training
- Emotional - Employee Family Assistance Program, Wellbeing Programs, Family Support Programs
- Financial -Savings/Pension, Life, Accidental Death & Dismemberment, Disability, Discounted Perks
Location(s)
Toronto - Queen's Quay - Headquarters
Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact [email protected] for assistance.
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What We Do
Kraft Heinz is a global food company with a delicious heritage.
With iconic and emerging food and beverage brands around the world, we deliver the best taste, fun and quality to every table we touch.
We’re on a mission to disrupt not only our own business, but the global food industry. A consumer obsession and unexpected partnerships fuel our progress as we drive innovation across every part of our company.
Around the world, our people are connected by a culture of ownership, agility and endless curiosity. We also believe in being good humans, who are working to improve our company, communities, and planet.
We’re proud of where we’ve been – and even more thrilled about where we’re headed – as we nourish the world and lead the future of food.
Why Work With Us
We believe that great people make great companies, and we’re growing something great here at Kraft Heinz.
Operating in over 20 global markets, across 9 functions, no matter your career goals, we have a seat at the table for you.
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Kraft Heinz Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We also believe providing a more flexible and agile model is essential in today’s workplace. A majority of our office-based employees will be able to work remotely for up to two days each week.
