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