Machine Learning Engineer | Machine Learning Engineer (m/f/d)
ClimatePartner GmbH
Job Summary
Join an agile Data team in Munich or Berlin, dedicated to leveraging AI and Machine Learning to help companies achieve net-zero emissions. In this role, you will collaborate cross-functionally with Data Scientists, Engineers, and Product Managers to translate business requirements into robust technical solutions. A key part of your day will involve identifying, evaluating, building, and maintaining GenAI/ML systems, including cloud infrastructure and monitoring, with a focus on benchmarking, recommendations, and forecasting of carbon footprint data. You will also be responsible for implementing automated testing and monitoring to ensure AI system accuracy and reliability. This position is ideal for a professional with a strong background in Machine Learning, Generative AI, and Python, eager to take full ownership of technical workflows and drive impactful climate action.
Required Skills
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field
Experience
- At least 3 years in a Machine Learning role (Data Scientist, Software Engineer, Machine Learning/AI Engineer)
- Experience building and maintaining professional Machine Learning/Generative AI systems at scale, with a focus on reliability, validation, and monitoring
- Experience in a startup/scale-up context (ideally)
Languages
Additional
- Application documents (CV, Cover Letter) must be in English. Hybrid work model (60% on-site presence required).