Applied Ai Engineer Jobs in Quebec (NOW HIRING)

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 TraneandThermo 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.

Where is the work:

We are seeking a highly resourceful Senior Data Scientist to join our international AI in Engineering team within Advanced Concepts & Capabilities. This role designs, builds, and deploys AI- and data-driven solutions that improve engineering productivity, accelerate model and simulation workflows, enhance access to engineering knowledge, and support the development of data-enabled engineering tools across Trane Technologies. The role operates within a globally distributed team focused on generative AI, machine learning, deep learning, high performance computing, data access, content engineering, data enhancement, and agent-based workflows.

Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and extraction, and agent-enabled workflows.

Build and refine data pipelines, preprocessing workflows, and model-ready datasets for engineering, test, and simulation data.

Design, test, and deploy predictive, optimization, and AI-enabled applications that improve engineering productivity and decision-making.

Support AI software development lifecycle initiatives by contributing to proof-of-concepts, use case evaluation, implementation planning, and enterprise-facing tool development.

Help convert fragmented engineering knowledge and historical data into searchable, reusable, agent-accessible resources that improve continuity and reduce lost expertise.

Collaborate with engineering, modeling and simulation, controls, and digital teams to integrate AI into tools, workflows, and product-development processes.

Contribute to engineering data and AI initiatives spanning domain-specific chatbots, regulatory and compliance support tools, digital twins, time-series forecasting, solver acceleration, and physics-informed models.

Work with cloud platforms, connectors, registries, and orchestration frameworks to enable secure and scalable AI solutions for engineering teams.

Prepare concise technical readouts, visuals, and recommendations that communicate results and next steps to technical stakeholders and leadership.

Mentor junior team members, contribute to team standards, and help build repeatable methods for AI and data science delivery across the international AI in Engineering organization.

Master's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience.

Strong experience with Python for data analysis, model development, and application development.

Solid foundation in machine learning, statistical modeling, and generative AI concepts.

Experience handling raw, unstructured, and engineering data, including preprocessing, feature development, and preparing data for modeling workflows.

Familiarity with SQL, NoSQL, cloud services, and modern AI/ML tooling.

Experience building or supporting applications, workflows, or services that operationalize analytics or AI solutions.

Ability to work effectively across a distributed, international team and partner with engineering stakeholders across multiple domains and locations.

Strong analytical, communication, and problem-solving skills, with the ability to translate technical concepts into practical business and engineering outcomes.

Applied data science for engineering and technical domains.

Generative AI and agent-oriented workflow thinking.

Data handling, reuse, enhancement, and access enablement.

Collaboration in cross-functional and globally distributed engineering environments.

Curiosity, initiative, and the ability to convert emerging AI capabilities into practical tools and workflows.

Excellent communication and presentation skills.

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.

Thrive at work and at home:

• Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
• Family building benefits include fertility coverage and adoption/surrogacy assistance.
• 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
• Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
• Educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.

Safety Sensitive Role:

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

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.