Exploiting End-to-end Multi-modal Models for

Il y a 3 mois

Nanterre, France BNP Paribas Temps plein

**Exploiting End-To-End Multi-Modal Models For Document Information Processing - H/F - Stage 6 mois.**

Ce stage basé à NANTERRE est à pourvoir pour une durée de 6 mois.

**Missions, équipe et environnement de travail, ça donne quoi ?**

Le thème du stage consiste à étudier et à mettre en oeuvre des techniques d'extraction de données utilisant des modèles multimodaux end-to-end pour extraire l'information des images de documents. La performance de cette étape est cruciale pour l'automatisation du traitement des documents et le calcul des indicateurs de performance clés (KPI) de notre solution logicielle pour les clients internes. La solution proposée doit être résistante aux artefacts visuels, notamment ceux liés à l'impression et à la numérisation des documents.

Vos missions:

- Faire une révision bibliographique autour de l’état-de-l’art technologique et scientifique des

méthodes de deep learning sur le sujet.
- Étudier l'effet de prompt engineering sur les différents modèles sélectionnés et quantifier l'impact des différentes méthodes;
- Implémenter en Python les techniques choisies en utilisant des librairies deep learning open-sources et des libraires internes
- Réaliser des tests avec les techniques implémentées et évaluer leurs performances sur les données disponibles en utilisant des métriques pertinentes
- Communiquer les avancées et les résultats obtenus à toute l’équipe avec clarté et rigueur
- Si les résultats sont positifs et en fonction du temps, vous pourrez travailler à l’intégration de vos travaux dans notre service

Vous rejoindrez l'équipe Computer Vision au sein du Datalab situé au siège de BNP Paribas Cardif, à Nanterre. Cette équipe développe un service qui combine Optical Character Recognition (OCR), classification et extraction d'informations pour automatiser le traitement de dizaines de millions de documents reçus par BNP Paribas Cardif chaque année. Elle est composée de 4 Machine Learning Engineers, 1 Analytics Manager et 1 Machine Learning Engineering Manager.

**Vos perspectives d’évolution**

Vous aurez l'occasion de
- apprendre et mettre en oeuvre des techniques de pointe de Computer Vision et de Natural Language Processing;
- renforcer vos compétences en Software Engineering;
- apprendre les meilleures pratiques MLOPs;
- mettre en pratique vos compétences en communication;
- collaborer avec une équipe d'experts qui vous guidera tout au long du stage.

**Les avantages à nous rejoindre**

La rémunération sera abordée à l’issue de votre parcours de recrutement. Elle dépend de votre formation et de votre niveau d'études.

Notre monde change : notre manière de nous informer, de consommeret de travailler aussi Aujourd’hui, ce qui compte dans un job, c’est de vivre de véritables expériences, d’apprendre, de partager objectifs et résultats avec ses collègues.
Bref, de tracer son propre chemin, différent, responsable et durable.

Chez BNP Paribas, nous recrutons nos collaborateurs avec l’idée qu’ils nous aideront à concevoir le monde et la banque de demain.

**ETES-VOUS NOTRE PROCHAIN STAGIAIRE EXPLOITING END-TO-END MULTI-MODAL MODELS FOR DOCUMENT INFORMATION PROCESSING ?**:
Nombre d'années d'expérience dans le domaine du poste : Débutant

Niveau d'étude souhaité : Master ou équivalent (>4 ans)

Spécialité du diplôme : Data science et/ou Machine learning

De plus votre adaptabilité, votre capacité à collaborer et communiquer tant à l'oral qu'à l'écrit seront des atouts essentiels. Ajoutez à cela un bon sens de l'organisation, de l'analyse et de la rigueur pour finir de nous convaincre.
Dans un monde qui change, la diversité, l’équité et l’inclusion sont des valeurs clés pour le bien-être et la performance des équipes.
Chez BNP Paribas, nous souhaitons accueillir et retenir tous les talents sans distinction :c’est ainsi que nous construirons, ensemble, la finance de demain, innovante, responsable et durable.
Enfin, nous attachons une importance particulière à ce que nos futurs collaborateurs agissent au quotidien avec responsabilité éthique et professionnelle.
À tout moment pendant le processus de recrutement, les informations figurant sur votre CV, vos données d'identification et vos antécédents pourront être vérifiés.
N'oubliez pas d'indiquer sur votre CV la formation que vous préparez, les dates souhaitées de votre stage et votre mobilité géographique.

Rejoignez-nous

**LIEU PRINCIPAL**

**FR-Île-de-France-NANTERRE**

**TYPE D'EMPLOI**

**Stage**

**DOMAINE D'ACTIVITÉ**

**STATUTS TEMPORAIRES**

**NIVEAU D'ÉTUDES**

**Master ou équivalent (> 4 ans)**

**NIVEAU D'EXPÉRIENCE**

**Débutant**

**HORAIRES**

**Temps plein**

**RÉFÉRENCE**

**S_CARLY24_0047**

**APPLY**

***
- (REF: S_CARLY24_0047)***

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