Machine Learning Engineer

Germany - Hanau
Automotive Catalysts
Information Technology, Analytics & Digitalization

Posted on 08-01-2025

About Umicore

Powering the cars of the future. Reducing harmful emissions. Giving unique properties to high-end applications. Giving new life to used metals. We are the leading circular materials technology company fulfilling its mission to create materials for a better life. 
 

About Automotive Catalyst

We all have the right to breathe clean air, and at Umicore, we are a world leader in the production of automotive emission control catalysts. Our technologies enable on-road and non-road applications to meet environmental standards around the world. Our products have prevented billions of tons of harmful gases and particles being released into the atmosphere. To enable our customers to produce even cleaner engines we cannot stand still. We need to find new ways to do things, discover new solutions and develop new ideas. Which is where you come in. 
 

What you will be doing

• Design, develop, and deploy machine learning and AI models and algorithms to address complex business challenges, such as customer segmentation, recommendation systems, anomaly detection, and predictive analytics.
• Collaborate with data engineers to build and maintain data pipelines for training and deploying machine learning and AI models.
• Experiment with various machine learning and AI techniques and methodologies to achieve high performance and accuracy of models.
• Work closely with stakeholders and cross-functional teams to understand their requirements and translate them into technical solutions
• Evaluate and recommend appropriate ML and AI frameworks, libraries, and tools based on the nature of the problem and project requirements, in close collaboration with Corporate IT and Corporate R&D.
• Stay up-to-date with the latest advancements in machine learning and AI and apply them to improve existing models and processes.
• First point of contact for the key user community in AC when they have questions related to Machine Learning solutions.
• Responsible for developing and maintaining technical and non-technical documentation for machine learning and AI solutions, models, and processes.
   

Who we are looking for

An enthusiastic colleague with:

• A graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• At least 5 years of professional experience in a Machine Learning and AI Engineer role.
• Experience with cloud platforms such as Azure (preferred), AWS, or Google Cloud.
• Experience in building and deploying machine learning models in production environments, including data preprocessing, feature engineering, model training, and evaluation.
• Strong programming skills in languages such as Python, R, or Java.
• Strong analytical and problem-solving skills.
• Excellent written and spoken communication skills, with the ability to explain technical concepts to non-technical stakeholders (Fluent English is required, German is a plus).
   

What we offer

We aim to lead the way. Not just for our customers, but for our employees too. That is why we strive to create a collaborative environment in which we can all succeed, and a culture through which we can all share ideas, develop our expertise and advance our careers. We engage in building an inclusive work culture that offers equal opportunities for all employees irrespective of their diverse backgrounds. As you would expect from a world-leading organisation, we will also reward your contribution with a competitive salary and benefits. With all this and more, imagine what you could do?
 

If my expertise can help reduce harmful vehicle emissions, IMAGINE WHAT YOU COULD DO ?