Experienced/senior Backend Engineer

il y a 2 semaines


Paris, France Doctrine Temps plein

**Le contexte**

Nous recherchons un.e back end engineer confirmé.e/senior pour nous aider à construire des pipelines de traitement de documents en quasi temps réel. Tu verrais le cycle complet des données, depuis le moment où les documents sont fournis par l’utilisateur jusqu’aux modèles de machine learning qui les analyseront ensuite.

Tu rejoindras une squad dont la mission est de rendre plus accessible les informations juridiques liées aux entreprises et qui développe un nouvel outil autour de la sécurité juridique des contrats. Cela passe par de nombreux aspects dont notamment un moteur de recherche, un chatbot conversationnel ou encore l'analyse en ligne de documents.

**Les missions**:
- Concevoir, développer, monitorer des architectures de pipelines et de services backend pour le traitement de données en quasi temps réel, utilisées pour tous types de documents juridiques.
- Designer et implémenter des interfaces adaptées à l’acquisition des documents et à la présentation des résultats des analyses.
- Travailler main dans la main avec des product managers, des designers, des ingénieurs fullstack et machine learning en charge des parties équivalentes de leur côté.
- Participer à la diffusion interne et à la consolidation de nos bonnes pratiques ; contribuer à l’élaboration de notre stratégie Engineering.

**Le profil idéal**:
- De bonnes compétences en programmation Python
- Une expérience des pratiques d'acquisition et de modélisation des données
- Une bonne connaissance de SQL et du stockage objet
- Une expérience dans un écosystème cloud (AWS de préférence)
- La maîtrise de la langue française, car tu seras amené.e à manipuler des données juridiques en français.

**Les à côtés du poste**:
- Comme tous les ingénieurs de Doctrine, tu participeras à un de nos chapters transverses, en l’espèce le chapter Data Science. Au sein de ce chapter, tu contribueras à des projets internes pour améliorer nos process et notre vision long-terme. Le chapter se réunit toutes les semaines pour:

- **Partager des connaissances** : suivit de l’état de l’art, revue de papiers scientifiques, amélioration continue, bonnes pratiques,
- **Proposer des évolutions** : nouveaux outils à expérimenter, nouveaux process à mettre en œuvre. Tu participeras également au ‍



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