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Intermediate Software Engineer

2 weeks ago

Montreal, Quebec, Canada AUDELA Full time $90,000 - $120,000 per year

Ingénieur logiciel intermédiaire (spécialisé en MLOps / science des données)

Emplacement: Montreal, Quebec

Audela est une entreprise de logiciels axée sur l'innovation où l'intelligence artificielle et la créativité convergent pour offrir des solutions avancées pour les réseaux de communication. En collaboration avec B-Yond, nous transformons l'industrie des télécommunications en appliquant l'automatisation du diagnostic réseau basée sur l'IA pour les opérateurs mobiles.

À propos de B-Yond:

· B-Yond développe des solutions d'intelligence artificielle pour les environnements télécoms et infonuagiques les plus complexes.

· Vous serez responsable de la fiabilité et de la mise en production des modèles et des systèmes agentiques.

· Vous transformerez les travaux de recherche réalisés en environnement de développement en solutions prêtes pour la production, avec traçabilité, sécurité et contrôle des coûts.

· B-Yond pile technologique comprend Databricks, OpenRouter, llmlite, LangGraph, LangChain et des bases de données vectorielles.

Responsabilités principales

  • Collaborer avec un ingénieur principal en science des données pour concevoir, mettre en œuvre et maintenir des solutions logicielles évolutives.
  • Appliquer les meilleures pratiques en ingénierie logicielle, y compris la qualité du code, l'automatisation et les tests.
  • Soutenir et améliorer les flux
    CI/CD et MLOps
    , principalement construits sur Databricks.
  • Contribuer aux initiatives d'automatisation et de livraison continue.
  • Assumer progressivement la responsabilité de certains composants et flux dans le cadre d'un plan de transfert de connaissances.

Ce à quoi ressemble la réussite…

  • Vous devenez rapidement un collaborateur de confiance, travaillant efficacement en binôme avec l'ingénieur principal.
  • Vous contribuez à renforcer nos flux
    MLOps sur Databricks
    , en améliorant l'automatisation, la fiabilité et la rapidité de livraison.
  • Vous démontrez un fort sens des responsabilités et prenez progressivement en charge davantage de composantes.
  • Vous partagez activement vos idées, appliquez les meilleures pratiques et aidez à rehausser les standards d'ingénierie logicielle de l'équipe.

Ce qui rend ce rôle gratifiant…

  • Vous travaillerez aux côtés d'un ingénieur expérimenté en science des données et
    MLOps
    , en apprenant directement à partir de projets concrets.
  • Vous aurez l'occasion d'influencer et de façonner la manière dont nous concevons et livrons des solutions alimentées par l'
    IA
    et
    l'apprentissage automatique
    .
  • Vous acquerrez une expérience pratique avec des outils MLOps modernes basés sur le cloud, tels que Databricks, les
    pipelines CI/CD
    et les cadres d'automatisation.
  • Vous rejoindrez une équipe collaborative qui valorise l'apprentissage, la responsabilisation et l'amélioration continue.

Qualifications

Compétences et expériences qui favoriseront votre succès :

  • Solide compréhension des meilleures pratiques en développement logiciel (contrôle de version, tests, revues de code, etc.).
  • Expérience avec les
    outils CI/CD
    , les
    cadres d'automatisation
    et les environnements cloud.
  • Familiarité avec les concepts
    MLOps
    et
    Databricks
    (une expérience pratique est un atout majeur).
  • Connaissances en science des données ou en apprentissage automatique (un atout).
  • Esprit de collaboration et volonté d'apprentissage.

*******************************************************************************

Intermediate Software Engineer (MLOps / Data Science Focus)

About Audela

Audela is an innovation-driven software company where artificial intelligence and creativity converge to deliver advanced solutions for communication networks. In collaboration with B-Yond, we are transforming the telecommunications industry by applying AI-Powered Network Diagnostics Automation for Mobile Operators.

About B-YOND:

· B-Yond develops artificial intelligence solutions for the most complex telecom and cloud environments.

· You will be responsible for the reliability and production deployment of models and agentic systems.

· You will transform research work done in development environments into production-ready solutions with traceability, security, and cost control.

· B-Yond's technology stack includes Databricks, OpenRouter, llmlite, LangGraph, LangChain, and vector databases.

The primary responsibilities:

  • Collaborate with a senior Data Science engineer to design, implement, and maintain scalable software solutions.
  • Apply
    software engineering best practices
    , including code quality, automation, and testing.
  • Support and enhance
    CI/CD
    and
    MLOps workflows
    , primarily built on
    Databricks
    .
  • Contribute to automation and continuous delivery initiatives.
  • Gradually assume ownership of components and workflows as part of a knowledge transfer plan.

What success looks like...

  • You quickly become a trusted contributor, pairing effectively with the senior engineer.
  • You help strengthen our
    MLOps workflows in Databricks
    , improving automation, reliability, and delivery speed.
  • You demonstrate ownership of components and progressively take on more responsibility.
  • You actively share ideas, follow best practices, and help raise the team's overall software engineering standards.

What makes it rewarding...

  • You'll work side by side with an experienced Data Science and MLOps engineer, learning directly from real-world projects.
  • You'll have the chance to influence and shape how we build and deliver
    AI/ML-driven solutions
    .
  • You'll gain hands-on experience with
    modern cloud-based MLOps tools
    like Databricks, CI/CD pipelines, and automation frameworks.
  • You'll join a collaborative team that values learning, ownership, and continuous improvement.

Qualifications

The skills and experience that will help you succeed...

  • Solid understanding of
    software development best practices
    (version control, testing, code reviews, etc.).
  • Experience with
    CI/CD tools
    ,
    automation frameworks
    , and
    cloud environments
    .
  • Familiarity with
    MLOps concepts
    and
    Databricks
    (hands-on experience is a strong plus).
  • Data Science or ML knowledge
    is a plus.
  • Strong collaboration and learning mindset.