Machine Learning Engineer (m / f / d)

ClimatePartner; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading environmental technology company located in Munich is looking for a Machine Learning Engineer to join their Data team. The role involves building and maintaining AI systems and collaborating with cross-functional teams. The ideal candidate should have a solid background in Machine Learning, strong Python skills, and experience with Generative AI. The company offers a hybrid working model, competitive benefits, and a supportive work environment.

Leistungen

30 days of holiday

Flexible working model

Support for sports activities

Free tea, coffee, and fruit

Qualifikationen

• At least 3 years of experience in a Machine Learning role.
• Experience building and maintaining ML/GenAI systems at scale.
• Proficient in ML methods like Regression, Classification, and Time Series Forecasting.
• Strong communication and collaboration skills.

Aufgaben

• Collaborate with Data Scientists, Engineers, and Product Managers.
• Build and maintain robust GenAI / ML systems.
• Implement automated testing and monitoring techniques.
• Stay updated on the latest AI advancements.

Kenntnisse

Machine Learning

Python

Generative AI

Data Science

Cross-functional collaboration

Ausbildung

Bachelor's or Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Jobbeschreibung

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 monitoring.
• You build, train, and deploy ML models focusing on benchmarking, recommendations, and forecasting of carbon footprint and emissions data.
• You implement automated testing and monitoring techniques to ensure AI system accuracy and reliability.
• You take full ownership of the technical workflow and manage related project responsibilities.
• You stay updated on the latest AI advancements and promote Data Science and ML fundamentals within the Digital department.

Who you are

• You hold 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 (e.g., Data Scientist, Software Engineer, ML/AI Engineer), preferably in a startup or scale-up environment.
• You have experience building and maintaining professional ML/GenAI systems at scale with a focus on reliability, validation, and monitoring.
• You are proficient in ML methods like Regression, Classification, Time Series Forecasting, Recommendation, and Outlier Detection.
• You have experience with Generative AI, including large language models, embeddings, and libraries like LangChain or Llamaindex.
• You are highly skilled in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, and have experience with AWS.
• You possess strong communication and collaboration skills, working effectively in cross-functional teams.
• You have excellent command of English.

Benefits

Join our dynamic, international team where you can be yourself. We foster an open, collaborative environment and enjoy social activities outside of work. In addition to meaningful work, we offer:

• Modern, centrally located offices accessible by all transport modes.
• Options for environmentally friendly commuting, such as JobRad.
• Support for sports activities through subsidies.
• 30 days of holiday to promote work-life balance.
• Flexible, hybrid working model with 60% on-site presence.
• Regular feedback and development meetings.
• Opportunity for a company pension scheme with employer contributions.
• Free tea, coffee, and fruit to support well-being.

How to apply

Click the application button and include the following documents in English:

• Your latest CV
• A Cover Letter

For questions, contact Maximilian Merkt from the Data team.

We are committed to creating an inclusive environment and provide equal opportunities for all applicants. If you require accommodations during the application process, we will do our best to support you.

Learn more about working at ClimatePartner and view all current openings at Career ClimatePartner.

We look forward to your application!

About us

ClimatePartner supports companies in decarbonisation through software and expert advice, helping achieve net zero emissions.

Over 20 years, more than 6000 companies have partnered with us to reduce their carbon footprint—because of the climate and their business.

Key Skills

Experience in Laboratory work, Vendor Management, Design Controls, C/C++, FDA Regulations, Intellectual Property Law, ISO 13485, Research, SolidWorks, R&D, IoT, Product Development

Employment Type : Full-Time

Experience : 3+ years

Vacancy : 1