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Job Title


Développeur en apprentissage automatique III / Machine Learning Developer III


Company : Trane Technologies


Location : Westmount, Montréal


Created : 2026-05-03


Job Type : Full Time


Job Description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it''s our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane and Thermo King , sustainability is not just how we do businessit is our business. Do you dare to look at the world''s challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what''s possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation. Ce que vous ferez : Mise en uvre de cadres : Participer activement la conception et limplantation concrte de cadres dIA volutifs adapts aux projets actuels et futurs de BrainBox AI. Dploiement de modles : Collaborer troitement avec les ingnieurs et chercheurs en AA afin de combler lcart entre un modle entran et un service dploy, en rsolvant les frictions dingnierie lies la mise en production. Surveillance et dtection de drive : Concevoir et dployer le systme immunitaire de nos modles des systmes qui suivent la dgradation des performances et dtectent de faon proactive la drive des donnes et des concepts. Soutien technique et programmation : Agir comme ressource de haut niveau en programmation dIA et fournir un soutien technique lquipe largie afin dassurer latteinte prcise des jalons de projet. Initiatives interfonctionnelles : Faire voluer les mthodologies existantes et dvelopper de nouvelles techniques pour des initiatives couvrant diffrentes fonctions dingnierie et de recherche. Intelligence des donnes : Reprer et interprter des tendances complexes dans les ensembles de donnes afin doptimiser la performance des algorithmes selon les besoins daffaires rels. Excellence du code : Rdiger un code exceptionnellement propre, testable et facile dboguer. Promouvoir la documentation et les meilleures pratiques de dveloppement logiciel tout au long du cycle de vie de lAA. Ce dont vous aurez besoin pour russir : Baccalaurat ou matrise en gnie logiciel, en informatique ou quivalent. De 5 8 ans dexprience en gnie logiciel, avec une forte spcialisation dans le dploiement et la maintenance de systmes dapprentissage automatique. Matrise avance de Python et de la programmation oriente objet (POO), essentielle. Solide exprience des environnements AWS (Lambda, SageMaker, tables Glue, SQS/SNS, API Gateway, CloudWatch) et gestion des rles IAM pour des dploiements scuriss. Expertise avec pytest et les cadres de tests unitaires afin dassurer la fiabilit du code. Connaissance approfondie des environnements Linux et forte propension automatiser les tches et flux de travail rptitifs. Bonne comprhension des modles de dploiement en AA et des architectures LLM actuelles. Capacit expliquer efficacement des concepts dingnierie complexes des collgues aux profils techniques varis. Membre dquipe proactif agissant comme personne-ressource, partageant ses connaissances et rsolvant efficacement les problmes lis aux modles. Exigences linguistiques Le bilinguisme franais-anglais est requis. En plus de la matrise du franais, les personnes retenues doivent possder une comptence professionnelle complte en anglais afin de soutenir et de collaborer avec des clients, collgues 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 AIs 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 modelssystems 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: Bachelors or Masters 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: $111,308.33 - $155,435.00 Compensation Type: Salary Incentive Eligible: Yes Sales Commission Eligible: No 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.