About UmicorePowering 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 CatalystsWe 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 recent ways to do things, discover new solutions and develop new ideas. Which is where you come in.Your Key AccountabilitiesDesign, develop, and deploy advanced machine learning models for applications like customer segmentation, recommendation systems, anomaly detection, and predictive analyticsCollaborate with data engineers to build and maintain robust data pipelinesEvaluate and recommend ML frameworks, tools,



and technologies in collaboration with Corporate IT & R&DExperiment; with different ML techniques to optimize performance and accuracyConduct model evaluation and continuous improvement through experimentationTranslate business requirements into scalable technical solutionsStay ahead of industry trends and integrate the latest ML advancementsMaintain comprehensive documentation for models and processesWho we are looking for5+ years of experience as a Machine Learning EngineerDegree in Computer Science, Statistics, Mathematics, or related fieldStrong programming skills in Python, R, or JavaHands-on experience with DatabricksExpertise in ML frameworks such as TensorFlow, PyTorch, or Scikit-LearnProven experience deploying ML models in production environmentsStrong understanding of supervised, unsupervised, deep learning, and reinforcement learning algorithmsExperience with cloud platforms (Azure preferred, AWS, or GCP)Knowledge of MLOps practices (CI/CD, model monitoring, versioning)Nice To haveExperience in NLP or Computer VisionFamiliarity with Agile methodologiesMicrosoft Azure AI Engineer Associate certificationFluency in English What we can offerWe aim to lead the way. Not just for our customers, but for our employees too. That is why we strive to create a team-oriented 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?

📌 Ai / Ml Engineer (Pune)
🏢 Accenture
📍 Pune