Do you want to use advanced machine-learning solutions to support the energy transition? In a dynamic start-up environment, you'll work on innovative technologies that help businesses manage their energy use more efficiently and sustainably. You'll develop and implement smart ML models that make a real impact in the world of renewable energy. Are you ready to use your expertise to help create a greener future?
Sounds interesting, tell me more...
This company offers an innovative platform that helps businesses trade and optimize sustainably generated energy. With automated trading and analytics, companies can optimize their energy use and reduce costs, contributing to the energy transition. The platform supports businesses by providing access to renewable resources and local storage options like microgrids and batteries. This allows them to align their energy consumption with sustainable sources and benefit from cost advantages in the energy market.
How can I help?
In this role, you will develop and implement machine learning models within a fast-growing start-up in the energy sector, driving the transition to renewable energy. You will take ownership of the entire ML lifecycle, from data preprocessing to model optimization and deployment. This includes conducting in-depth data analysis, designing effective feature engineering pipelines, and ensuring optimal model performance through monitoring and iterative improvements.
You will collaborate closely with software developers to seamlessly integrate models into the SaaS platform, prioritizing scalability and high performance. Additionally, you will translate technical insights into clear and accessible language for product managers, senior management, and other stakeholders, supporting strategic business goals. You will apply best practices in code quality, testing, and version control while staying up-to-date with the latest machine learning advancements to foster innovation within the team.
What do I need to know?
You bring a solid foundation to the table, with a degree in Computer Science, Data Science, or a related field, and over 3 years of experience as a Machine Learning Engineer. You've built and deployed machine learning models, managing the entire process-from data preparation to ensuring smooth production deployment.
With strong skills in Python and experience with AWS and Sagemaker, you're well-prepared for the challenges of a dynamic start-up environment. Experience in the energy sector or algorithmic trading is a strong advantage, showcasing your ability to handle complex and data-driven scenarios. Your expertise in time-series modelling, MLOps, and tools like Metaflow and PySpark further strengthens your capabilities. Combined with your collaboration skills and ability to turn technical insights into real-world impact, you are well-positioned to deliver ML solutions that optimize energy usage and drive sustainability.
What can I earn?
An attractive salary of up to €100.000,- gross per year, depending on your experience. On top of that, there's a comprehensive benefits package. You'll be working in a fast-growing, dynamic environment where your contributions have a direct impact on success. Ready to make a difference in a rapidly growing and innovative team in the sustainable energy sector? Join us and help create smart, future-focused solutions for a greener world. Apply now and see how your expertise can drive the energy transition forward!
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