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Where is the work:

Ce que vous ferez :

• Mise en uvre de cadres : Participer activement a la conception et a l'implantation concrete de cadres d'IA evolutifs adaptes aux projets actuels et futurs de BrainBox AI.

• Deploiement de modeles : Collaborer etroitement avec les ingenieurs et chercheurs en AA afin de combler l'ecart entre un modele entraine et un service deploye, en resolvant les frictions d'ingenierie liees a la mise en production.

• Surveillance et detection de derive : Concevoir et deployer le systeme immunitaire de nos modeles - des systemes qui suivent la degradation des performances et detectent de facon proactive la derive des donnees et des concepts.

• Soutien technique et programmation : Agir comme ressource de haut niveau en programmation d'IA et fournir un soutien technique a l'equipe elargie afin d'assurer l'atteinte precise des jalons de projet.

• Initiatives interfonctionnelles : Faire evoluer les methodologies existantes et developper de nouvelles techniques pour des initiatives couvrant differentes fonctions d'ingenierie et de recherche.

• Intelligence des donnees : Reperer et interpreter des tendances complexes dans les ensembles de donnees afin d'optimiser la performance des algorithmes selon les besoins d'affaires reels.

• Excellence du code : Rediger un code exceptionnellement propre, testable et facile a deboguer. Promouvoir la documentation et les meilleures pratiques de developpement logiciel tout au long du cycle de vie de l'AA.

Ce dont vous aurez besoin pour reussir:

• Baccalaureat ou maitrise en genie logiciel, en informatique ou equivalent.

• De 5 a 8+ ans d'experience en genie logiciel, avec une forte specialisation dans le deploiement et la maintenance de systemes d'apprentissage automatique.

• Maitrise avancee de Python et de la programmation orientee objet (POO), essentielle.

• Solide experience des environnements AWS (Lambda, SageMaker, tables Glue, SQS/SNS, API Gateway, CloudWatch) et gestion des roles IAM pour des deploiements securises.

• Expertise avec pytest et les cadres de tests unitaires afin d'assurer la fiabilite du code.

• Connaissance approfondie des environnements Linux et forte propension a automatiser les taches et flux de travail repetitifs.

• Bonne comprehension des modeles de deploiement en AA et des architectures LLM actuelles.

• Capacite a expliquer efficacement des concepts d'ingenierie complexes a des collegues aux profils techniques varies.

• Membre d'equipe proactif agissant comme personne-ressource, partageant ses connaissances et resolvant efficacement les problemes lies aux modeles.

Exigences linguistiques

Le bilinguisme francais-anglais est requis.

En plus de la maitrise du francais, les personnes retenues doivent posseder une competence professionnelle complete en anglais afin de soutenir et de collaborer avec des clients, collegues et/ou divers intervenants anglophones.

***English Follows

What you will do:

• Framework Implementation: Actively participate in the design and hands-on implementation of scalable AI frameworks tailored for BrainBox AI's ongoing and future projects.

• Model Deployment: Partner closely with ML engineers and researchers to bridge the gap between a trained model and a deployed service, solving the engineering "friction" that arises during productionization.

• Monitoring & Drift Detection: Build and deploy the "immune system" for our models-systems that track performance decay and proactively detect data and concept drift.

• Technical Support & Programming: Serve as a high-level resource in AI programming, providing technical support to the broader team to ensure project milestones are met with precision.

• Cross-Functional Initiatives: Help evolve existing methodologies and develop new techniques for initiatives that span across different engineering and research functions.

• Data Intelligence: Identify and interpret complex patterns within datasets to refine and enhance algorithm performance based on real-world business requirements.

• Code Excellence: Write exceptionally clean, testable, and debuggable code. You will be a champion for documentation and software development best practices within the ML lifecycle.

What you will need to be successful:

• Bachelor's or Master's in Software Engineering, Computer Science, or equivalent.

• 5-8+ years of experience in software engineering, with a significant focus on the deployment and maintenance of Machine Learning systems

• Advanced proficiency in Python and Object-Oriented Programming (OOP) is non-negotiable.

• Strong experience in AWS environments (Lambdas, SageMaker, Glue Tables, SQS/SNS, API Gateway, CloudWatch) and navigating IAM roles for secure deployments.

• Expert-level familiarity with pytest and unit testing frameworks to ensure code reliability.

• Deep knowledge of Linux environments and a natural instinct to automate repetitive tasks and workflows.

• A strong understanding of ML model deployment patterns and current LLM architectures.

• Ability to effectively communicate complex engineering concepts to colleagues with diverse technical backgrounds.

• A proactive teammate who acts as a "resource person" for others, sharing knowledge and troubleshooting model issues effectively.

Language Requirements
French-English bilingualism is required.
In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Annual Base Salary Range or Hourly Base Pay Range:

Compensation Type:

Incentive Eligible:

Sales Commission Eligible:

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.