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Senior Machine Learning Engineer

Kraft Heinz is a global food company producing iconic and emerging food and beverage brands worldwide, focused on delivering taste, quality, and innovation.
$100,300 - $125,400
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Consumer

Description For Senior Machine Learning Engineer

Kraft Heinz, a global leader in the food and beverage industry, is seeking a Senior Machine Learning Engineer to join their Decision Intelligence Products & Platforms (DIPP) ML Engineering team. This role presents an exciting opportunity to work at the intersection of artificial intelligence and enterprise operations, driving value through scalable ML systems across multiple business functions.

The position offers a comprehensive compensation package including a base salary range of $100,300 - $125,400, performance-based bonuses, and extensive benefits covering healthcare, retirement, and wellness programs. The company provides a 7% 401(k) match, medical/dental/vision coverage, and various wellness initiatives to support work-life balance.

As a Senior ML Engineer, you'll be responsible for leading MLOps practices, implementing model monitoring systems, and establishing robust CI/CD pipelines. The role requires expertise in machine learning frameworks, cloud platforms, and modern MLOps tools. You'll work horizontally across core functions including Supply Chain, Manufacturing, Commercial, R&D, HR, and Marketing, ensuring high-performance AI systems throughout the enterprise.

The ideal candidate brings 3+ years of ML engineering experience, strong technical skills in Python and modern ML frameworks, and a deep understanding of model governance and Responsible AI principles. You'll be joining a company that values innovation, diversity, and professional growth, with opportunities to work on impactful projects that shape the future of food industry operations.

Kraft Heinz offers a culture of ownership, agility, and endless curiosity, where employees are encouraged to challenge the status quo and make bold decisions. The company is committed to fostering an inclusive environment through Business Resource Groups, professional development opportunities, and a strong focus on diversity and belonging.

This role is based in Toronto and offers the chance to work with cutting-edge ML technologies while contributing to the digital transformation of one of the world's largest food and beverage companies. If you're passionate about machine learning, eager to work on enterprise-scale systems, and want to be part of a company that's leading the future of food, this position offers an excellent opportunity to advance your career while making a significant impact.

Last updated 11 days ago

Responsibilities For Senior Machine Learning Engineer

  • Lead MLOps practices for end-to-end model management, versioning, testing, deployment, and monitoring
  • Implement model monitoring using Aporia to track performance, bias, and drift
  • Establish robust CI/CD pipelines and governance frameworks
  • Contribute to the design and evolution of the internal ML platform
  • Build shared infrastructure for experimentation and model reproducibility
  • Develop, deploy and operationalize predictive models
  • Work with data scientists and SMEs to translate prototypes into production-grade ML systems

Requirements For Senior Machine Learning Engineer

Python
  • Bachelor's or Master's in Computer Science, Engineering, or related field
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Proficiency in Python, R, or other ML programming languages
  • 3+ years of experience in ML engineering and MLOps
  • Strong knowledge of MLOps tools and cloud platforms
  • Deep understanding of model governance, drift detection, and Responsible AI standards
  • Proficiency in CI/CD for ML using Azure DevOps
  • Experience with Snowflake or similar platforms
  • Strong stakeholder communication and collaboration skills

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Mental Health Assistance
  • 7% 401(k) matching
  • Medical, dental and vision coverage
  • Performance-based bonus
  • Paid Time Off
  • Company Holidays
  • Employee Family Assistance Program
  • Flexible Work Arrangements
  • Family Support Programs
  • Life Insurance
  • Disability Insurance

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