CS26 - Stage - Bac+5 - Data Science - Artificial Intelligence (H/F) job opportunity at Renault Group.

Home Jobs In France Tag: Job CS26 - Stage - Bac+5 - Data Science - Artificial Intelligence (H/F) position at Renault Group


DateMore Than 30 Days Ago bot
Renault Group CS26 - Stage - Bac+5 - Data Science - Artificial Intelligence (H/F)
Experience: General
Pattern: full-time
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degreeMaster's (M.A.)
loacation Guyancourt, France
loacation Guyancourt....France

Company RENAULT s.a.s. Job Description Contexte et environnement de travail : Les systèmes d'Intelligence Artificielle sont aujourd’hui omniprésents chez Renault Group : inspection visuelle en usine, aide à la conduite des véhicules intelligents, optimisation de la supply chain, et même assistants d'IA génératives dédiés aux métiers. Cependant, malgré leurs performances, ces systèmes présentent des limites : erreurs de reconnaissance, phénomènes d’hallucination, difficulté à convaincre les experts qualité de leur fiabilité face à l’humain. Ce stage a pour objectif de fournir des référentiels permettant d'évaluer et éventuellement de renforcer la confiance des systèmes d'Intelligence artificielle. Vos missions : En tant que stagiaire, vous participerez à l’ensemble des thématiques couvrant le cycle de vie complet d’un modèle IA : Analyse de la qualité des données : étude statistique des bases d’apprentissage (complétude, cohérence, diversité, biais, détection des zones pauvres en information). Techniques d’apprentissage robustes et non biaisées : mise en œuvre de méthodes pour améliorer l’équité (repondération, fonctions de perte adaptées aux priorités métier, régularisations). Quantification de l’incertitude : calibration probabiliste et/ou conforme, régression quantile, distributions prédictives, détection des données hors distribution (OOD) en conditions réelles. Explicabilité des modèles : analyse de l’importance des variables, sensibilité conditionnelle et fiabilité des résultats. Analyse en conditions réelles & dérive en production : détection de dérive des données et recommandations pour un pipeline complet d’évaluation continue. Qui êtes-vous ? Étudiant(e) en Master ou dernière année d’école d’ingénieur avec spécialisation en Machine Learning / Statistique . Solides bases théoriques en apprentissage statistique et modélisation. Maîtrise de Python et de ses librairies (pandas, scikit-learn, PyTorch/TensorFlow). Curiosité scientifique, rigueur et capacité à travailler en autonomie. Vous souhaitez participer à l’aventure de l’automobile de demain ? Rejoignez-nous ! 🚗💡 Job Family Quality & Customer Satisfaction Contract Duration Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.   We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future. By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group privacy policy .

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