Data Scientist | Machine Learning Engineer – Practice IA MARGO
Nous recherchons un Data Scientist / Machine Learning Engineer avec une solide expérience en traitement du langage et en deep learning, pour intervenir sur des projets à fort impact au sein d’un environnement exigeant.
Vous rejoindrez une équipe spécialisée dans les problématiques de compréhension de documents, d’analyse de données non structurées et d’automatisation de processus métier.
Les sujets adressés sont concrets : extraction d’information à partir de documents complexes, analyse de contenus textuels et visuels, développement d’assistants intelligents… avec un enjeu fort de mise en production et de robustesse des modèles.
Vos missions :-
Participer à la définition des approches de modélisation adaptées aux cas d’usage
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Explorer, structurer et fiabiliser des jeux de données complexes (texte, image, documents)
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Développer et entraîner des modèles de deep learning pour le traitement du langage et des documents
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Évaluer les performances des modèles et itérer sur les architectures
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Intégrer les modèles dans des applications opérationnelles
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Contribuer au déploiement et au suivi en production (performance, dérive, robustesse)
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Collaborer avec les équipes techniques pour dimensionner les environnements d’exécution
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Vous avez environ 2 à 4 ans d’expérience en data science ou machine learning
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Vous avez une expertise solide en traitement du langage et/ou en analyse de documents complexes
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Vous avez déjà développé et mis en production des modèles de deep learning
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Vous maîtrisez les principaux outils du domaine (frameworks de deep learning, librairies spécialisées NLP, etc.)
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Vous êtes à l’aise avec les environnements de développement modernes (versioning, conteneurisation, pipelines de déploiement)
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Vous êtes capable de passer de l’expérimentation à des solutions utilisables en production
- Des missions ambitieuses et variées, toujours sélectionnées pour leur valeur ajoutée ;
- Un accompagnement de proximité par des experts reconnus ;
- Une communauté d’ingénieurs passionnés, avec workshops, conférences et échanges réguliers ;
- Une culture d’exigence technique, de partage des connaissances et de développement continu.
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Skills
- Artificial Intelligence
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