Senior Data Engineer for ML Ops | Python & AWS

ACENSI; Belgique; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

ACENSI is seeking a passionate Data Engineer to contribute to machine learning projects in the energy sector, focusing on forecasting the performance of renewable assets in Brussels.

The ideal candidate has extensive experience in Python and MLOps, along with knowledge of big data architectures. You will work collaboratively with Quants and Data Scientists, tackling challenges throughout the machine learning model lifecycle.

Qualifications

• Advanced proficiency in Python (10+ years).
• Senior experience in Big Data architecture (8 to 10 years).
• Junior-level experience in Databricks (less than 3 years).

Responsabilités

• Contribute to the creation of Machine Learning models for energy production forecasting.
• Work with Quants and Data Scientists to solve challenges in the ML model lifecycle.
• Manage feature preparation, training, tuning, and inference tasks.

Connaissances

Python development

MLOps

Big Data Architecture

Databricks

Description du poste

ACENSI is seeking a passionate Data Engineer to contribute to machine learning projects in the energy sector, focusing on forecasting the performance of renewable assets in Brussels.

The ideal candidate has extensive experience in Python and MLOps, along with knowledge of big data architectures. You will work collaboratively with Quants and Data Scientists, tackling challenges throughout the machine learning model lifecycle.