Machine Learning Engineer developing customer-driven ML solutions, collaborating across teams to transform prototypes into features. Utilizing large datasets to derive insights and impact kitchen operations.
Responsibilities
Responsible for building machine learning solutions that deliver real customer value
Designing and implementing ML approaches
Working with large, diverse datasets (recipes, ingredients, pricing, consumption)
Building data pipelines and actively contributing to the AI architecture
Responsible for monitoring, transparency, and compliance (e.g., GDPR, LMIV - German Food Information Regulation)
Close collaboration with product owners, developers, and domain experts
Goal: convert prototypes into production-ready features
Requirements
Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or an equivalent qualification with relevant professional experience
Experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
Knowledge of SQL and data preprocessing/data preparation
German language skills at C1 level
Practical experience deploying ML models to production
Experience with Azure and MLOps, or an interest in the food/nutrition sector, is a plus
Hands-on mentality with curiosity and enthusiasm for building things from scratch
Benefits
Permanent employment with attractive, performance-based compensation
Flexible working hours (flextime) with the option for occasional remote work
Complimentary beverages
Financial perks through an employee benefits card
Company pension schemes
Bike leasing
Company events such as summer parties and Christmas celebrations
Role-specific training opportunities
Individual training with full access to the Udemy Business course catalog
Short decision-making processes and a collaborative, family-like work atmosphere
Attractive, newly renovated office in a prime location in the heart of Bad Kissingen
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