Développeur en apprentissage automatique III / Machine Learning Developer III

Trane Italia•Montreal, QC

47d•Hybrid

About The Position

Join Trane Technologies, a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes, and transportation. The company is committed to putting the planet first, with sustainability being integral to its business. This role offers an opportunity to contribute to a better, sustainable future by challenging what's possible. The BrainBox AI Workplace Presence model requires specific in-office days each month to foster relationships, learning, and innovation. Joining the team means embarking on a career filled with purpose, impact, and meaningful contributions towards a more sustainable future, supported by an inclusive culture, benefits, growth opportunities, and flexibility.

Requirements

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.
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.

Responsibilities

Actively participate in the design and hands-on implementation of scalable AI frameworks tailored for BrainBox AI’s ongoing and future projects.
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.
Build and deploy the "immune system" for our models—systems that track performance decay and proactively detect data and concept drift.
Serve as a high-level resource in AI programming, providing technical support to the broader team to ensure project milestones are met with precision.
Help evolve existing methodologies and develop new techniques for initiatives that span across different engineering and research functions.
Identify and interpret complex patterns within datasets to refine and enhance algorithm performance based on real-world business requirements.
Write exceptionally clean, testable, and debuggable code. You will be a champion for documentation and software development best practices within the ML lifecycle.