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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 evolution of the internal ML platform. The role combines technical expertise in machine learning with practical business application, as you'll work on developing predictive models that improve operational efficiency, forecast demand, and manage business risks.

Working at Kraft Heinz means joining a company that values innovation and disruption in the food industry. The company offers comprehensive benefits including medical, dental, and vision coverage, 401(k) matching, and various wellness programs. They promote a culture of ownership, agility, and endless curiosity, with a strong emphasis on diversity and inclusion through their Business Resource Groups.

The ideal candidate will bring strong technical skills in ML engineering and MLOps, with experience in tools like Azure DevOps, Aporia, and Snowflake. You'll need to combine technical expertise with strong stakeholder management skills, as you'll be working across multiple departments to deliver impactful ML solutions. This role offers an excellent opportunity to shape the future of AI applications in one of the world's largest food companies.

Last updated 9 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 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
  • Performance-based bonus
  • Paid Time Off and Company Holidays
  • Employee Family Assistance Program
  • Flexible Work Arrangements
  • Life Insurance
  • Disability Insurance
  • Leave of Absence

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