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AI Engineer (Machine learning) - TensorFlow, PyTorch - Karlsruhe - (80% Home-office) Bis Zu - €80.000

Lawrence Harvey

Hybrid Full-time 3w ago

About the role

About

I’m working with a B2B specialist that operates in the industrial and large-scale energy storage market. These solutions are designed to optimise both energy demand and supply, helping to reduce costs and lower CO₂ emissions. They develop customised hybrid energy storage systems, to support and accelerate the transition to sustainable industrial energy.

Responsibilities

  • Development and implementation of AI-based forecasting models
  • Development of ensemble models to improve forecasting accuracy
  • Design of intelligent energy management algorithms for battery optimisation
  • Building and maintaining data pipelines for training and EMS integration
  • Development of predictive maintenance solutions for hybrid battery storage systems
  • Continuous model optimisation based on operational data

Qualifications

  • A successfully completed degree in computer science, data science, mathematics, or a comparable qualification
  • Several years of professional experience in machine learning
  • Experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, and LightGBM
  • Solid database knowledge
  • You are comfortable in a dynamic environment with direct, open communication and have a strong affinity for new technologies

Benefits

  • A varied role with a high degree of creative freedom in a highly motivated team
  • The opportunity to work within a successful and growing group of companies
  • Flat hierarchies, fast decision-making processes, and open, respectful communication
  • An attractive salary package including additional company benefits (holiday and Christmas bonuses, capital-forming benefits)
  • Flexible working hours and options for mobile (hybrid) working

Skills

LightGBMPyTorchTensorFlowXGBoostscikit-learn

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