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Senior Software Engineer — Fintech AI Foundation

Full-time

Hopper Office

Role Description

À titre d'ingénieur·e logiciel au sein de l'équipe Fondation Fintech, vous concevrez, développerez et ferez évoluer les systèmes d'apprentissage automatique qui alimentent le moteur de tarification de Hopper. Votre travail aura un impact direct sur les revenus, la gestion du risque financier et l'expérience client à travers l'ensemble du portefeuille de partenaires.

Vous collaborerez étroitement avec les équipes Science des données, Ingénierie et Produit afin de livrer des solutions de tarification fiables, évolutives et axées sur les résultats commerciaux.

À quoi ressemblera votre quotidien :

  • Concevoir et implémenter des pipelines d'entraînement automatisés et réutilisables pour assurer une livraison de modèles cohérente et évolutive à travers le portefeuille de partenaires.
  • Développer des pipelines ETL avec une ingénierie des caractéristiques réfléchie afin de garantir des entrées propres et fiables pour les modèles de tarification.
  • Développer et déployer des solutions de tarification par apprentissage automatique en temps réel, en prenant en charge l'ensemble du parcours du modèle jusqu'à l'environnement de production.
  • Surveiller les systèmes en production pour détecter la latence, la dérive et le décalage entraînement-service, en optimisant en continu pour maintenir l'intégrité des modèles.
  • Mener des tests champion-challenger sur les leviers de tarification et de construction de produits afin de dégager des améliorations et de réagir aux évolutions des conditions du marché.
  • Collaborer avec les scientifiques des données, les ingénieur·e·s et les parties prenantes produit pour traduire les besoins d'affaires en solutions techniques bien délimitées.

Qualifications

  • 5 ans et plus d'expérience dans un rôle similaire, idéalement au sein de systèmes d'apprentissage automatique en production ou de plateformes de tarification à grande échelle.
  • Maîtrise de Python, Scala et SQL, appliquée à des systèmes d'apprentissage automatique en production plutôt qu'à des travaux exploratoires.
  • Expérience en modélisation de données, architecture logicielle et cadres de traitement de données distribuées à grande échelle.
  • Solide compréhension des algorithmes d'apprentissage automatique et de leur application dans des contextes de tarification, de prévision de la demande ou dans des domaines commerciaux similaires.

Requirements

  • Sens analytique développé et souci du détail, avec un historique de détection des problèmes avant qu'ils n'atteignent la production.
  • Vision produit permettant de garder le résultat client en vue, même lorsque le travail est profondément technique.
  • Aptitudes à la communication claire et collaborative, efficaces auprès des équipes de science des données, d'ingénierie et des parties prenantes d'affaires.

Benefits

  • Startup bien financée et établie, aux ambitions élevées, offrant un salaire compétitif et les avantages d'un programme d'équité pré-introduction en bourse.
  • Hopper couvre 100 % des primes du régime d'assurance collective.
  • Hopper offre une couverture vie, invalidité de courte durée et de longue durée.
  • Compte de gestion santé (CGS) couvrant les dépenses médicales et dentaires admissibles.
  • Tous les employés et leurs personnes à charge ont accès aux services de télémédecine de Dialogue, en tout temps et partout.
  • Tous les employés ont accès à un régime REER avec retraits automatiques avant impôt à chaque paie.
  • Demandez-nous en quoi consiste notre congé parental très généreux, bien au-dessus des normes de l'industrie !
  • Congés illimités.
  • Allocation de voyage Carrot Cash.
  • Accès à un espace de cotravail sur demande via FlexDesk ET allocation pour le travail à domicile.
  • Culture entrepreneuriale où repousser les limites et prendre des risques font partie du quotidien.
  • Communication ouverte avec la direction et la haute direction de l'entreprise.
  • Des équipes petites et dynamiques = un impact considérable.
Vacancy posted 3 days ago
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