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Senior Machine Learning Engineer

Global food company with iconic and emerging food and beverage brands, focused on innovation and disrupting the global food industry.
$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 industry, is seeking a Senior Machine Learning Engineer to join their Decision Intelligence Products & Platforms (DIPP) ML Engineering team. This role offers an exciting opportunity to work 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 involves leading the deployment, monitoring, and governance of machine learning models, ensuring high-performance, production-grade AI systems across the enterprise. You'll be responsible for implementing MLOps practices, establishing CI/CD pipelines, and contributing to the design of internal ML platforms. The role combines technical expertise in machine learning with practical business application, working on projects that improve operational efficiency, forecast demand, and manage business risks.

Kraft Heinz offers a comprehensive benefits package including medical, dental, and vision coverage, 7% 401(k) matching, and an industry-leading total rewards package with high discretionary bonus potential. The company promotes a culture of ownership, agility, and endless curiosity, with a strong focus on diversity and inclusion through their Business Resource Groups.

The ideal candidate will bring 3+ years of ML engineering experience, strong technical skills in Python and modern ML frameworks, and expertise in MLOps tools and cloud platforms. This role presents an excellent opportunity to work with cutting-edge ML technologies while making a significant impact on a global scale at one of the world's leading food companies.

Working at Kraft Heinz means joining a team that's committed to innovation, growth, and making a lasting impact on the future of food. The company provides extensive professional development opportunities and promotes a collaborative environment where diverse perspectives are valued and celebrated.

Last updated 10 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 practices
  • Experience with Snowflake or similar platforms
  • Strong stakeholder relationship management skills

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Mental Health Assistance
  • Medical, dental, and vision coverage
  • 7% 401(k) matching
  • Business Resource Groups (BRGs)
  • Industry-leading total rewards package
  • High discretionary bonus
  • Paid Time Off
  • Company Holidays
  • Leave of Absence
  • Flexible Work Arrangements
  • Employee Family Assistance Program
  • Wellbeing Programs
  • Family Support Programs

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