Werkstudent in der Energieoptimierung & Automatisierung (w/m/div.)
Core
Developing AI-driven models to optimize the operation of energy plants (heat pumps, chillers, ventilation, boilers) using building management system time-series data to create energy- and cost-efficient operational schedules.
Role type
Junior Machine Learning Engineer (Energy Optimization)
Builds
Scalable AI workflows for automated ticket processing and optimized facility management operations
Domain
Industrial Energy Management / Building Automation
Deliverable
production ML models
Required skills
Python, Machine Learning, Time-series analysis, Forecasting, Data preprocessing, Feature engineering, REST APIs, Git, HVAC/Building Management Systems
Preferred skills
Cloud environments, Data analysis libraries (NumPy, Pandas, Scikit-learn)
Responsibilities
Develop AI models for energy plant optimization, create load forecasts, implement automated ticket processing workflows, integrate data sources with internal Bosch AI tools
Seniority
Student / Junior
