Machine Learning Research Engineer

ArcelorMittal is the world’s largest steel producer. We use the most innovative technology to create the steels tomorrow’s world will be made of. Every day over 190,000 of our talented people, located in over 60 countries, push the boundaries of digitalization and use advanced technology to create a world that is stronger, faster and smarter. To help make this possible, they know they can depend on the support and training that a company of our scope and scale can provide. ArcelorMittal Maizieres Research is the worldwide largest research center of ArcelorMittal company. The campus is composed with 4 labs dedicated to specific areas: Product, Process, Bars& Wires, Pilote. The job is proposed in the Digital Technologies cluster, part of the Process Lab. The mission of the cluster is to develop digital and cyber-physics (based on sensors and data science) solutions for process control and optimization in one hand and product control on the other hand. About 40 people, aprentices, technicians, engineers, researchers are working in this cluster. Process monitoring and optimization, especially for energy-intensive and critical processes, are very important, directly linked to the digitalization transformation (industry 4.0) and the decarbonization programms of ArcelorMittal company. Your role As Research Engineer, you will be involved in digitalization of the industry which heavy focus on quality & reliability through Fault Detection and Diagnosis (FDD) algorithm & satistical modeling. Your main activities will include the following: Develop and deploy machine learning solution for process monitoring Develop and deploy machine learning solution for process optimization Lead research activities in the framework of research projects and technical supports to plants Contribute to the development and renewal of the activities: proposal of new research axes, new projects Your profile Requirements: You hold a Master's degree or PhD in computer science or statistics or in a related field You have at least 3 years of experience in data science / statistics role supporting the industry You have extensive programming experience in Python technology stack (pandas, numpy, scikit-learn, matplotlib, seaborn, shap etc.). Experience in working with virtual environments and version control (e.g. git) You have Excellent knowledge of machine learning algorithms for clustering, classification, regression, anomaly detection, and optimization, preferably with both small, big data and time series You have excellent storytelling and communication skills, both oral and written, especially in explaining complex concepts in simple terms You have excellent social skills to work in a team You are able to travel worldwide You have advanced levels of English and French Desirable knowledge: Experience in process monitoring & Fault detection and Diagnosis (FDD) would be a plus Exposure to cloud computing platforms will be considered as a plusKnowledge in image analysis & deep learning (PyTorch) will be considered as a plus According to ArcelorMittal Global R&D values: You agree to comply with health and safety rules You are respectful, transparent, honest and empathetic in your relationships. You honor your word and your commitments to others You agree to behave consistently with the highest level of integrity You strive to question your practices. with high expectations of yourself and others, You strive for a high level of quality and reliability in everything You do. You recognize that diversity, varied skills and fresh ideas make a group exponentially better in the pursuit of a common goal You know that learning changes minds and lives, so You are committed to learning throughout your professional career and continually achieving the skills required and essential to your success You are open to ideas that challenge conventions and stimulate innovation Join us and you will see that your work will help create renewable energy, impact major industries and boost economies. At ArcelorMittal, we'll help you create your world. Attractive remuneration with stimulating career prospects in which eminent scientists and engineers evolve in a multicultural environment #J-18808-Ljbffr