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Research and Development Engineer

Il y a 2 mois


MaizièreslèsMetz, Grand Est, France ArcelorMittal Temps plein
About the Role

We are seeking a highly skilled Research/Machine Learning Engineer to join our Digital Technologies cluster at ArcelorMittal Maizieres Research. As a key member of our team, you will be responsible for developing and deploying machine learning solutions for process monitoring and optimization.

Key Responsibilities
  • Develop and deploy machine learning solutions for process monitoring and optimization
  • Lead research activities in the framework of research projects and technical support to plants
  • Contribute to the development and renewal of activities, including proposal of new research axes and projects
Requirements
  • Master's degree or PhD in computer science, statistics, or a related field
  • At least 3 years of experience in data science/statistics role supporting the industry
  • Extensive programming experience in Python technology stack (pandas, numpy, scikit-learn, matplotlib, seaborn, shap, etc.)
  • Excellent knowledge of machine learning algorithms for clustering, classification, regression, anomaly detection, and optimization
  • Excellent storytelling and communication skills, both oral and written
  • Excellent social skills to work in a team
  • Ability to travel worldwide
  • Advanced levels of English and French
Desirable Knowledge
  • Experience in process monitoring and Fault Detection and Diagnosis (FDD) would be a plus
  • Exposure to cloud computing platforms will be considered as a plus
  • Knowledge in image analysis and deep learning (PyTorch) will be considered as a plus
About ArcelorMittal

ArcelorMittal is the world's largest steel producer, using innovative technology to create the steels of tomorrow's world. Our company values include respect, transparency, honesty, and empathy in relationships, and we strive for a high level of quality and reliability in everything we do.

We offer attractive remuneration and stimulating career prospects in a multicultural environment. If you are passionate about digital transformation and industry 4.0, and have a strong background in machine learning and data science, we encourage you to apply for this exciting opportunity.