Data Engineer — ML Forecasts for Renewable Energy Assets
Summary
Build Python-based ML models to forecast renewable energy production for wind and solar assets, and collaborate on training pipelines with data scientists.
ACENSI is seeking a skilled Data Engineer to join the energy sector project in Brussels. You will develop Python-based ML models to forecast energy production for wind farms and photovoltaic plants, while collaborating with data scientists to build robust training pipelines.
Ideal candidates bring strong Python expertise, experience with the AWS ecosystem, and a solid understanding of ML lifecycle management.