Machine Learning at Umicore | Jobyssey

About Umicore

Powering the cars of today and tomorrow. Reducing harmful emissions. Giving unique properties to high-end applications. Giving new life to used metals. As a global advanced materials and recycling group, we develop, produce, and recycle materials for a better life.

About Automotive Catalysts

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.

Your Key Accountabilities

Design, develop, and deploy advanced machine learning models for applications like customer segmentation, recommendation systems, anomaly detection, and predictive analytics
Collaborate with data engineers to build and maintain robust data pipelines
Evaluate and recommend ML frameworks, tools, and technologies in collaboration with Corporate IT & R&D
Experiment with different ML techniques to optimize performance and accuracy
Conduct model evaluation and continuous improvement through experimentation
Translate business requirements into scalable technical solutions
Stay ahead of industry trends and integrate the latest ML advancements
Maintain comprehensive documentation for models and processes

Who we are looking for

5+ years of experience as a Machine Learning Engineer
Degree in Computer Science, Statistics, Mathematics, or related field
Strong programming skills in Python, R, or Java
Hands-on experience with Databricks
Expertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
Proven experience deploying ML models in production environments
Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning algorithms
Experience with cloud platforms (Azure preferred, AWS, or GCP)
Knowledge of MLOps practices (CI/CD, model monitoring, versioning)

Nice To have

Experience in NLP or Computer VisionFamiliarity with Agile methodologies
Microsoft Azure AI Engineer Associate certification
Fluency in English

What we can 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?

Machine Learning

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