Machine Learning Engineer (m/f/d)

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.

Benefits

Join our dynamic and international team where you can be who you are. We work together in an open and uncomplicated way and also enjoy socialising outside of work. In addition to a job with meaning, we also offer you the following benefits:

• Our bright, modern offices are centrally located and easily accessible by all modes of transport.
• We love environmentally friendly alternatives for travelling to the office! To support this, you can opt for a JobRad.
• Sport clears your head and makes us feel good! We support you with a subsidy for various sports programmes.
• We offer 30 days holiday, because we believe that time off is important.
• We enable you to work flexibly and in a hybrid way (with 60% on-site presence) so that you can achieve an even better work-life balance.
• Regular check-ins and development meetings are part of our feedback culture.
• You have the opportunity to take out a company pension scheme with an employer subsidy.
• It goes without saying that we provide free tea, coffee and fruit to ensure your well-being at work.

How to apply

Simply click the application button to apply for this position. Make sure that you include the following documents in English:

• Your Latest CV
• A Cover Letter

Have any questions? Feel free to contact Maximilian Merkt (jobs@climatepartner.com) from the Data team.

Creating an inclusive environment is important to us. We provide equal opportunities to all qualified applicants without regard to any aspect that makes them unique. If you need any reasonable adjustments to make the application process accessible for you, we’ll do our best to accommodate you.

Find out more about working at ClimatePartner and see all our current job openings at Career | ClimatePartner

We look forward to your application!