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Machine learning developer III

Job in Montreal, Iron County, Wisconsin, 54550, USA
Listing for: Trane Technologies
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Montreal

Requirements

  • Bachelors or Masters degree in Software Engineering, Computer Science, or a related field.
  • 5 to 8+ years of experience in software engineering, particularly focused on deploying and maintaining Machine Learning systems.
  • Advanced proficiency in Python and Object-Oriented Programming (OOP) is essential.
  • Extensive experience with AWS environments (Lambdas, Sage Maker, Glue Tables, SQS/SNS, API Gateway, Cloud Watch) and managing IAM roles for secure deployments.
  • Expertise in pytest and unit testing frameworks to ensure code reliability.
  • In-depth knowledge of Linux environments and a strong inclination to automate repetitive tasks and workflows.
  • Thorough understanding of ML model deployment strategies and current LLM architectures.
  • Ability to effectively communicate complex engineering concepts to colleagues with diverse technical backgrounds.
  • A proactive team member who serves as a resource for others, sharing expertise and resolving model-related issues effectively.
  • Bilingual proficiency in French and English is mandatory, with full professional competency in both languages.
Responsibilities
  • Engage actively in the design and hands‑on implementation of scalable AI frameworks customized for our ongoing and future projects.
  • Collaborate closely with ML engineers and researchers to eliminate gaps between a trained model and deployed service, addressing engineering challenges that arise during production.
  • Develop and implement an
Company

At Trane Technologies, we are committed to creating advanced, sustainable, and efficient climate solutions for a wide range of applications including buildings, homes, and transportation. Our philosophy centers around putting the environment first in all that we do. Joining our team means contributing to a mission where you can make a real difference in addressing the worlds challenges. We are excited to offer a hybrid work model through our Brain Box AI Workplace Presence approach, allowing for dedicated in-office days each month that focus on fostering relationships, continuous learning, and innovative thinking.

Our comprehensive benefits are designed to support you in thriving both professionally and personally.

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