Job Description

All Posting Locations:

Toronto, ON, CA

Job Functions:

IT

Date Published:

July 21, 2025

Ref#:

R-94767


ABOUT THE ROLE

Here 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, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus. Benefits begin 30 days after hire for hourly employees, and immediately upon hire for salaried employees. Get a peek into life here at Kraft Heinz through our Instagram and TikTok channels!

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.

Applied 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) Proficiency in Python, R, or other programming languages commonly used in machine learning 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 NAZTAOps@kraftheinz.com for assistance.