Machine Learning Engineer

Machine Learning Engineer

ClimatePartner

Munich or Berlin, Germany

What you will do

Join us in helping companies of all sizes and industries take meaningful climate action today. We are dedicated to working as a team towards our common goal: making net zero a reality.

Become part of our agile Data team in Munich or Berlin, where we use AI and Machine Learning to help businesses take climate action.

• You collaborate cross-functionally with Data Scientists, Engineers, Product Managers, and business stakeholders to translate requirements into technical solutions;
• You identify and evaluate GenAI/ML use cases to improve internal services and client-facing products;
• You build and maintain robust GenAI/ML systems, including cloud infrastructure and appropriate monitoring;
• You build, train and deploy ML models that focus on benchmarking, recommendations and forecasting of carbon footprint and emissions data;
• You implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems;
• You take full ownership and drive the entire technical workflow and manage related project responsibilities;
• You stay on top of the latest advancements in AI and advocate Data Science and ML fundamentals in the Digital department.

Who you are

• You have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field;
• You have at least 3 years of experience in a Machine Learning role (as a Data Scientist, Software Engineer, Machine Learning/AI Engineer etc.) ideally in a startup/scale-up context;
• You have experience building and maintaining professional Machine Learning/Generative AI systems at scale, with a focus on reliability, validation and monitoring;
• You are proficient in Machine Learning methods like Regression, Classification, Time Series Forecasting, Recommendation, Outlier Detection;
• You have experience with Generative AI, including different large language models, embeddings, and libraries like LangChain or Llamaindex;
• You have strong proficiency in Python and Machine Learning libraries (e.g. scikit-learn, PyTorch, TensorFlow) and experience with the AWS ecosystem;
• You have strong communication and collaboration abilities - working effectively in cross-functional teams;
• You have a very good command of English.