AI & Modeling Lead Engineer - Materials Innovation

il y a 6 jours


Chambéry, France Owens Corning Foundation Temps plein

Location: Chambéry, 69, FR, 73000 Function: Research and Development Audience: Experienced Professional Work Arrangement: Hybrid Requisition ID: 66499 Join our team in Chambéry as a key driver of digital transformation in materials innovation. We are seeking a highly skilled engineer to lead the development and deployment of artificial intelligence (AI) and machine learning (ML) solutions, with a strong focus on simulation and modeling of composite materials. This strategic role supports global customers and contributes to shaping the future of data-driven R&D in glass reinforcement composites. We value inclusivity, diversity, and sustainability. Our global team is committed to creating impactful solutions through innovation and collaboration. As part of our organization, you will contribute to bold growth goals and benefit from a supportive and forward-thinking work environment. Key Responsibilities AI and Modeling Technologies (70%) Evaluate commercial AI/ML platforms for technical fit and scalability. Lead internal AI initiatives for composite modeling and product development. Apply supervised and unsupervised ML techniques to solve complex materials problems. Develop scripts to integrate AI tools with databases and simulation environments. Deploy AI solutions to enhance modeling productivity and support customer projects. Structure and streamline material property databases for faster decision-making. Composite Design and Simulation (30%) Support global customers with advanced modeling of composite materials and systems. Create material data cards for structural and process simulations. Collaborate with international teams to deliver data-driven solutions. Provide technical insights to optimize performance and reduce costs. Document findings in technical reports and presentations. Qualifications Master’s degree in Materials Science, Engineering, or Data Science. 5–7 years of experience applying AI/ML in engineering or materials development. Proficiency in Python and scripting for AI tool integration. Familiarity with data science platforms (SQL, R, Spark, cloud-based environments). Experience with materials databases and simulation techniques (FEA, CFD, MD, DFT). Fluent in French and English. Willingness to travel (5–10%). Preferred Experience PhD with focus on AI/ML applications in materials or engineering. Experience deploying commercial AI tools for R&D and product development. Expertise in composite modeling tools (Abaqus, Ansys, Digimat, Moldex3D). Background in composite testing and structure–property relationships. Proven collaboration with customers on technical solutions. Skills and Abilities Strong analytical and problem-solving skills. Ability to translate business needs into AI-driven solutions. Project management and cross-functional collaboration experience. Excellent communication and documentation skills. Effective in international, multidisciplinary teams. Passion for innovation and continuous improvement. About OC Glass ReinforcementsThe OC glass reinforcements business a leading global provider of solutions matching the differentiated needs of the growing composites industry. Leveraging a powerful combination of material science, manufacturing excellence, and deep market and customer knowledge, we provide sustainable, customer-centric solutions for the global wind, building and construction, thermoplastic compounding, and composites specialty markets. With more than 4,100 employees operating in 12 countries, the GR business is equipped to reliably serve the needs of customers both locally and around the world. #J-18808-Ljbffr



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    Overview Join our team in Chambéry as a key driver of digital transformation in materials innovation. We are seeking a highly skilled engineer to lead the development and deployment of artificial intelligence (AI) and machine learning (ML) solutions, with a strong focus on simulation and modeling of composite materials. This strategic role supports global...


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