Real-Time Energy ML Engineer — Forecasting & Battery Optimization

Voltmasters; Gistel; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Health insurance

Apple laptop + second screen

Hybrid working

Learning budget €2,000 per year

Flexible work-life balance

Résumé du poste

Voltmasters in Belgium seeks a Machine Learning Engineer to develop and deploy forecasting models for energy prices, consumption and solar production within our EMS. You will build optimization algorithms to steer batteries and take models to production using real-time data.

You will collaborate with data engineers and backend teams, write clean, tested Python code and continuously improve models. A hybrid work setup in Gistel is offered with a competitive salary and comprehensive benefits.

Qualifications

• You have experience with machine learning in Python (e.g. PyTorch, scikit-learn).
• Knowledge of forecasting, time series or mathematical optimisation.
• Experience with MLOps and taking models to production is a strong plus.
• You write clean, tested code and think in measurable results.
• An interest in energy or sustainability is a bonus.

Responsabilités

• Develop and train forecasting models for energy prices, consumption and solar production.
• Build optimisation algorithms that steer batteries intelligently, from arbitrage to peak shaving.
• Take models to production and run them reliably on real-time data.
• Continuously evaluate, monitor and improve models.
• Work closely with data engineers and backend to integrate models seamlessly.

Connaissances

Python

PyTorch

scikit-learn

Forecasting

Time series

MLOps

Outils

Git

Docker

Description du poste

Voltmasters in Belgium seeks a Machine Learning Engineer to develop and deploy forecasting models for energy prices, consumption and solar production within our EMS. You will build optimization algorithms to steer batteries and take models to production using real-time data.

You will collaborate with data engineers and backend teams, write clean, tested Python code and continuously improve models. A hybrid work setup in Gistel is offered with a competitive salary and comprehensive benefits.