Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Kraft Heinz is seeking a Senior Machine Learning Engineer to join their Decision Intelligence Products & Platforms (DIPP) ML Engineering team. This role operates 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 focuses on leading and developing the deployment, monitoring, and governance of machine learning models across the enterprise.
The role combines technical ML expertise with practical business application, requiring strong skills in MLOps, platform engineering, and applied machine learning. You'll work with cutting-edge tools like Aporia for model monitoring, Azure DevOps for CI/CD, and Snowflake for data integration. The position offers comprehensive benefits including medical coverage, 401(k) matching, and performance-based bonuses.
Kraft Heinz provides an innovative environment where you'll be part of transforming a global food company through advanced AI applications. The company emphasizes a culture of ownership, agility, and endless curiosity, making it an ideal place for ML engineers who want to make a significant impact. With a competitive salary range of $100,300 - $125,400 and extensive benefits, this role offers both technical challenges and professional growth opportunities.
The ideal candidate will bring 3+ years of ML engineering experience, strong technical skills in Python and ML frameworks, and the ability to work effectively with cross-functional teams. You'll be responsible for building scalable ML systems while ensuring high performance and maintaining robust governance standards.
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
- 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
- 7% 401(k) matching
- Medical, dental and vision coverage
- Holistic wellness benefits
- Performance-based bonus
- Paid Time Off
- Company Holidays
- Flexible Work Arrangements
- Employee Family Assistance Program
- Family Support Programs
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