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, starting with a degree in Computer Science, Data Science or a related field and over 3 years of experience as a Machine Learning Engineer. Besides, you’ve built and deployed machine learning models, working across the entire process—from preparing data to getting models running smoothly in production.