Hybrid Machine Learning Engineer, Data Scientist

Posted 3 weeks ago

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About the role

  • Responsible for building machine learning solutions that deliver real customer value
  • Designing and translating ideas into ML approaches
  • Working with large and diverse datasets, such as recipes, ingredients, prices, and consumption data
  • Building data pipelines and actively contributing to our AI architecture
  • Responsible for monitoring, transparency, and compliance when deploying models into production
  • Close collaboration with product owners, developers, and domain experts to turn prototypes into production features
  • Influence on AI development across the company

Requirements

  • Completed Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or equivalent qualification with relevant professional experience
  • Experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Knowledge of SQL and data preparation
  • German language skills at C1 level
  • Practical experience in deploying ML models to production
  • Experience with Azure and MLOps, or interest in the food/nutrition sector is a plus
  • Hands-on mentality, curiosity, and enthusiasm for building things from scratch

Benefits

  • Flexible working hours (flexitime) with the option to work remotely on certain days
  • Free beverages
  • Financial benefits via employee card
  • Company pension schemes
  • Bike leasing
  • Company events such as summer parties and Christmas celebrations
  • Role-focused professional development programs
  • Individual training with access to Udemy Business' extensive course catalog
  • Short decision-making paths and a family-like working atmosphere
  • Attractive, newly renovated premises in a prime location in the heart of Bad Kissingen

Job title

Machine Learning Engineer, Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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