Hybrid Machine Learning Engineer

at Green Fusion

• Job title: Machine Learning Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Docker, IoT, Python
• Location requirements: Hybrid, Berlin, Germany

About the role

• Machine Learning Engineer supporting the development of intelligent Energy Management Systems. Collaborating on model predictions and optimizations to advance energy transition technology.

Responsibilities

• Support the Sector Coupling team in building the next generation of intelligent Energy Management Systems (EMS).
• Enable high-accuracy model predictions and optimizations through long-term learning from data.
• Design and improve machine learning models for time-series forecasting and nonlinear optimization.
• Deploy forecasting and optimization models into the EMS production environment (Cloud and Edge).
• Maintain and improve ML pipelines (using tools like Prefect and MLflow).
• Ensure robust feature engineering for time-series, asset telemetry, and market data.
• Lead monitoring of model quality, addressing concept drift and evaluating performance.
• Lead the development of digital twins and simulation environments to safely test EMS interactions before deployment to real hardware.
• Collaborate with embedded and platform teams to integrate solutions into the GreenBox edge device and backend services.

Requirements

• Strong experience in Python and machine learning engineering.
• Hands-on experience developing, testing, and maintaining models in containerized production environments (e.g., Docker, AWS).
• Familiarity with the full machine-learning lifecycle, from training through deployment and monitoring.
• Experience using MLOps tools such as Prefect, MLflow, or similar platforms.
• Experience in time-series forecasting and nonlinear optimization.
• Ideally, experience with stochastic model predictive control or probabilistic forecasting techniques.
• Curiosity about how physical and energy systems operate, from heat pumps to power markets.
• Enjoy working with cross-functional teams (Energy, Backend, Embedded) and can clearly communicate technical concepts to diverse stakeholders.
• Bonus: Experience with Reinforcement Learning, IoT/Edge deployments, or energy management systems (EMS) – a plus but not required.

Benefits

• Flexible working hours, home office, and remote work options.
• Ongoing training opportunities – through on-the-job challenges, an open feedback culture, or sponsored training programs.
• Employee benefits such as Urban Sports Club or Become1.
• Direct impact through your work – contribute actively to the energy transition and combat climate change every day.
• We value our team – regular team events are important to us.
• Join one of the best teams Berlin has to offer – and possibly beyond.