We are looking for a passionate python developer to join our team and contribute to the creation of Machine Learning models to forecast the energy production of our renewable assets (wind farms, photovoltaic plants).

The ideal profile is:

A data engineer who understands the challenges of MLOps (feature preparation, training, tuning, and inference)..

A python development enthusiast, capable of juggling libraries and frameworks.

A software craftsman capable of working with Quants and Data Scientists to solve problems related to the Machine Learning model lifecycle (e.g., setting up training pipelines).

The position requires advanced proficiency in Python and the AWS ecosystem (s3, step functions, athena, etc...). Previous experience with SageMaker, Feature Stores, and Model Registries (MLFlow) is a plus.

Python

Machine Learning

Agile

Our client within the energy sector is currently looking for a Data Engineer Forecasting/Python Developer to work on contributing to the creation of Machine Learning models to forecast the energy production of our renewable assets (wind farms, photovoltaic plants).

Energy

Data Engineer Forecasting/Python Developer

Location:

Brussels, Belgium

Apply before:

30/12/2024

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