KI-Ingenieur Wärmenetzplanung (m/w/d)
Core
Develops AI-based models and data-driven solutions for planning and optimizing modern district heating networks, combining machine learning with geospatial analysis.
Role type
Senior IC machine learning engineer (energy infrastructure)
Builds
AI planning tools and optimized district heating network designs
Domain
Renewable energy / District heating / Geospatial analysis
Deliverable
production ML models
Required skills
Machine learning, Python, TensorFlow, PyTorch, GIS tools (QGIS, ArcGIS), spatial data analysis, data analysis (Pandas)
Preferred skills
Knowledge of sustainable energy supply concepts, experience with cold district heating networks
Technologies
Python, TensorFlow, PyTorch, QGIS, ArcGIS, Pandas
Responsibilities
Develop AI-based models for efficient district heating network planning; Analyze energy data (heat demand, load profiles, network utilization); Perform spatial planning and visualization of heating networks; Analyze location data, existing infrastructure, and consumer structures; Test and evaluate AI-based planning tools under real-world conditions
Seniority
Senior, hands-on IC
