Machine Learning Engineer (m/f/d)

ClimatePartner; Berlin, München; Vor Ort; EUR 75.000 - 110.000; Vollzeit

Benefits dieser Stelle

JobRad

Hybrid work

Sport subsidy

30 days holiday

Hybrid work 60% on-site

Development check-ins

Company pension

Free beverages

Zusammenfassung

ClimatePartner in Berlin seeks a hands-on ML professional to drive GenAI initiatives across products and internal services. You will translate requirements with data scientists, engineers, and stakeholders, building scalable models and robust systems in AWS.

The role emphasizes reliability, monitoring, and collaboration in a fast-growing startup-like environment, with a strong focus on forecasting and recommendations for carbon footprint data, plus opportunities to shape AI strategy and stay at

Qualifikationen

• Bachelor's or Master's in CS/AI or a related field.
• At least 3 years in a Machine Learning role, startup/scale-up experience.
• Experience building scalable ML/GenAI systems with validation and monitoring.
• Proficient in ML methods: Regression, Classification, Time Series Forecasting, Recommendation.
• Experience with Generative AI, including LLMs, embeddings, LangChain or LlamaIndex.
• Strong Python and ML libraries (scikit-learn, PyTorch, TensorFlow) and AWS.
• Strong communication and cross-functional collaboration.
• Fluent in English.

Aufgaben

• Collaborate cross-functionally to translate requirements into technical solutions.
• Identify and evaluate GenAI/ML use cases for internal and client-facing products.
• Build and maintain GenAI/ML systems, including cloud infrastructure and monitoring.
• Develop ML models for benchmarking, recommendations, and forecasting of carbon data.
• Implement automated testing and monitoring for AI systems.
• Own and drive the entire technical workflow and project responsibilities.
• Stay updated on AI advancements and advocate DS/ML fundamentals in the org.

Kenntnisse

Python

Machine Learning

GenAI Systems

AWS

LangChain

LlamaIndex

Time Series

Forecasting

Communication

English

Ausbildung

Bachelor's or Master's in CS/AI

Tools

scikit-learn

PyTorch

TensorFlow

Jobbeschreibung

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.

Responsibilities

• 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.

Qualifications

• 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

• 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.

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.