We are looking for a Machine Learning Engineer who thrives at the intersection of AI innovation, scalable data systems, and applied business impact.

Requirements

Design, build, and deploy machine learning and GenAI solutions that drive innovation across our value chain, from R&D to production, marketing, and sustainability.
Partner with business and technical teams to translate complex problems into data-driven, deployable AI products.
Develop and optimize end-to-end ML pipelines in Databricks and Azure Machine Learning, ensuring scalability and robustness.
Apply graph data science techniques to reveal hidden connections across ingredients, recipes, and consumer insights.
Experiment with LLMs, embeddings, and AI copilots to accelerate decision-making and knowledge discovery within the company.
Contribute to our AI governance and best practices, ensuring reproducibility, observability, and ethical use of AI.
Collaborate with universities and research labs to push the boundaries of AI in food innovation.

Benefits

We are looking for a Machine Learning Engineer who thrives at the intersection of AI innovation, scalable data systems, and applied business impact.

Design, build, and deploy machine learning and GenAI solutions that drive innovation across our value chain, from R&D to production, marketing, and sustainability.
Partner with business and technical teams to translate complex problems into data-driven, deployable AI products.
Develop and optimize end-to-end ML pipelines in Databricks and Azure Machine Learning, ensuring scalability and robustness.
Apply graph data science techniques to reveal hidden connections across ingredients, recipes, and consumer insights.
Experiment with LLMs, embeddings, and AI copilots to accelerate decision-making and knowledge discovery within the company.
Contribute to our AI governance and best practices, ensuring reproducibility, observability, and ethical use of AI.
Collaborate with universities and research labs to push the boundaries of AI in food innovation.