Machine Learning Developer Level III

About Us

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 business-it 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.

Work Location

Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation.

Responsibilities

• 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.

Qualifications

• 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.

Compensation

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.

Benefits

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.