Data Engineer
Summary
Build and maintain ML pipelines in Python and AWS to forecast renewable energy output from wind and solar assets.
About The Job
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).
ACENSI Data Engineer
for one of their clients in the energy sector in Brussels:
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 Databricks, Feature Stores, and Model Registries (MLFlow) is a plus.
Requirements
- Python V3 Expert (+10 ans)
- Big Data Architecture & Technologies Senior (8 ans < x <= 10 ans)
- Databricks Junior (< 3 ans)
- Esprit d'analyse et de synthèse Senior (8 ans < x <= 10 ans)
- Machine Learning Avancé (5 ans < x <= 8 ans)