WHO WE ARE

At Vandebron, we’re transforming the energy landscape, steering away from the conventional to champion sustainability. Born in 2014, our journey began with Chapter 1, disrupting the market with a transparent platform connecting consumers directly to local, green energy producers. Now, in Chapter 2, we are dedicated to ensuring 100% green energy availability, 100% of the time. Think smart solutions — flexible use of wind and solar farms, Smart EV Charging, and efficient energy storage.
No waiting around, we actively shape a sustainable future. Good energy, smart solutions, that’s Vandebron.

WHAT YOU’LL DO

• Translate business requirements into scalable designs for machine learning solutions.
• Implement ML solutions as Python modules and iterate on the existing ML codebase.
• Deploy and monitor machine learning models focused on energy forecasting, trading optimization, and related applications.
• Collaborate with engineers to elevate the quality, reliability, and scalability of our ML products.
• Manage and optimize ML orchestration tooling, ensuring reliable and timely model execution (e.g., using MLflow, Kubeflow, Dagster/Airflow).
• Actively share findings and knowledge across teams, contributing to a strong internal ML community.
• Stay ahead of the curve by continuously adopting new tools, techniques, and best practices to improve our ML operations.

Within 6–12 months, success in this role means:

• You’ve fully onboarded into the EFTA team and built strong working relationships with engineers and data scientists.
• You’ve added fresh ideas and meaningful contributions to improve our ML pipelines and processes.
• You’ve taken ownership of ML deployment and orchestration workflows, improving reliability and scalability.
• You’re actively shaping how we forecast, optimize, and trade green energy smarter every day