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**Data Scientist with Machine Learning Expertise**
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Thermal Engineer
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Thermal Engineer
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il y a 2 semaines
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Aerospace Integration Engineer
il y a 1 mois
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Aerospace Integration Engineer
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Aerospace Integration Engineer
il y a 4 semaines
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Thermal Engineer Position
il y a 1 mois
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Senior Test Engineer
il y a 2 semaines
Mérignac, Nouvelle-Aquitaine, France AEROSPACELAB Temps pleinJob DescriptionAerospacelab is seeking a highly skilled AIT Engineer to join our team. As an AIT Engineer, you will be responsible for managing tests, means, and tools, as well as dedicated processes.Key ResponsibilitiesPerform elementary and functional tests on payloads electronics, mechanics, GNC, and propulsion.Define or specify sensors, means, and tools...
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Aerospace Test Engineer
il y a 5 jours
Mérignac, Nouvelle-Aquitaine, France AEROSPACELAB Temps pleinKey ResponsibilitiesAerospacelab is looking for a talented AIT Engineer to join our team. As a key member of our engineering team, you will be responsible for the development and implementation of test plans, procedures, and protocols for our spacecraft systems.Main DutiesDesign and execute tests to ensure the performance and functionality of our spacecraft...
Data Engineer
Il y a 3 mois
Au sein de la Direction Générale du Système d'Information, vous intégrerez l'équipe en charge de l'intelligence artificielle et de la business intelligence.
Votre mission consiste à contribuer à l'essor de l'intelligence artificielle chez Dassault Aviation, en interface avec les directions métiers, afin de transformer leurs besoins en réalité opérationnelle.
Vos activités principales :
- Recueil des besoins des directions générales, identification des cas d'usage à forte valeur ajoutée et choix de la solution technologique la plus adaptée pour une mise en opérationnel rapide permettant de concrétiser le gain.
- identification des solutions candidates
- évaluation de la faisabilité et validation des résultats
- accompagnement à la mise en oeuvre
- Développements IA ou Machine Learning de services transverses société et analyses exploratoires :
- amélioration des services LLM société
- datascience
- Déploiements opérationnels MLOps (création, déploiement, support des solutions)
- Contribution à la relation avec les organismes effectuant de la recherche dans le domaine, en lien avec la Direction Générale Technique
- Participation / animation de la communauté IA Dassault Aviation, et évangélisation à l'intelligence artificielle au niveau société.
Profil recherché
Au sein de la Direction Générale du Système d'Information, vous intégrerez l'équipe en charge de l'intelligence artificielle et de la business intelligence.
Votre mission consiste à contribuer à l'essor de l'intelligence artificielle chez Dassault Aviation, en interface avec les directions métiers, afin de transformer leurs besoins en réalité opérationnelle.
Vos activités principales :
- Recueil des besoins des directions générales, identification des cas d'usage à forte valeur ajoutée et choix de la solution technologique la plus adaptée pour une mise en opérationnel rapide permettant de concrétiser le gain.
- identification des solutions candidates
- évaluation de la faisabilité et validation des résultats
- accompagnement à la mise en oeuvre
- Développements IA ou Machine Learning de services transverses société et analyses exploratoires :
- amélioration des services LLM société
- datascience
- Déploiements opérationnels MLOps (création, déploiement, support des solutions)
- Contribution à la relation avec les organismes effectuant de la recherche dans le domaine, en lien avec la Direction Générale Technique
- Participation / animation de la communauté IA Dassault Aviation, et évangélisation à l'intelligence artificielle au niveau société.
De formation ingénieur généraliste ou équivalent, idéalement avec une spécialisation informatique, vos stages, projets et/ou apprentissage ont confirmé votre attrait pour l'IT.
Votre savoir-faire :
Compétences techniques :
- programmation : développement Python et utilisation des frameworks IA tensorflow et pythorch
- algorithmes et machine learning : connaissance des algorithmes ML, Deep Learning, NLP, LLM
- gestion des données : bases de données relationnelles (Oracle, Postgres) , langage SQL
- analyse de données : capacité à analyser et interpréter les résultats des modèle d'IA
- statistiques et mathématiques : solides bases en statistiques et en mathématiques appliquées
- compréhension des principes DevOps, y compris la containerisation (Docker) , l'orchestration (Kubernetes) , et le déploiement continu.
Vous progresserez au sein de votre poste grâce à vos capacités de :
- Polyvalence et adaptabilité
- Autonomie et esprit d'initiative
- Proactivité
- Écoute et capacité à challenger les besoins des clients internes
- Capacité à transmettre votre expertise