Description du poste:
Global Business Unit Renewables (R-GBU) is supporting the Group to accelerate RES asset development with an EBIT around EUR1.1Bn. We count 4,000 employees and more than 50 nationalities across 20 countries. With an installed capacity of 32 GW across 4 Operational Areas, GBU Renewables manages a diversified portfolio of assets including Solar (3.5 GW), Wind (10.9 GW) and hydro (17.7 GW) assets. Our ambition is to multiply by 2.6 our installed capacity with 80 GW in 2030. The Europe Operational Area (R-EU) covers 10 countries and Ocean Winds. The total installed capacity (at 100%) amounts to 13 GW. It represents a significant part of the RGBU EBIT and CAPEX, and growth perspectives, specifically outside France, are significant, with a target of 6 GW additions on 2025 horizon.
Responsibilities: * Assist in the implementation and optimization of AI technologies in various power plants. * Collaborate with international teams to ensure successful AI integration. * Analyze data and provide insights to improve operational efficiency. * Develop and maintain AI models and algorithms. Requirements: * Master's degree required. * Proficiency in English is essential. * Strong analytical and problem-solving skills. * Experience with AI and machine learning technologies is a plus. * Experience with Azure and RAG technologies is a plus. * Ability to work in a multicultural environment. What We Offer: * An opportunity to work in a dynamic and innovative environment. * Exposure to cutting-edge AI technologies. * A chance to make a significant impact on global energy solutions. If you are passionate about AI and eager to contribute to sustainable energy solutions, we would love to hear from you
Profil requis du candidat:
* Master's degree required. * Proficiency in English is essential. * Strong analytical and problem-solving skills. * Experience with AI and machine learning technologies is a plus. * Experience with Azure and RAG technologies is a plus. * Ability to work in a multicultural environment
| Origine: | Site web de l'entreprise |
| Publié: | 19 Mar 2026 (vérifié le 03 Avr 2026) |
| Type de poste: | Emploi |
| Langues: | Anglais |