Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
PG
Hybrid Machine Learning Engineer, Data Scientist
Posted 2 months ago
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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