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Deep Learning Developer Jobs in Montreal, QC (NOW HIRING)

... learning, and engineering excellence * Solve complex problems that require in-depth evaluation of ... Strong experience managing large-scale cloud infrastructure, with deep expertise in AWS preferred

Using deep learning, cloudbased computing, and our proprietary process, our solution autonomously ... As an AI Controls Engineer & Integrator, you will play a pivotal role in the delivery of the BBAI ...

New

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

New

... Mathematics, Engineering, Economics, or equivalent quantitative field 5 years of hands-on ... deep learning frameworks (PyTorch or TensorFlow) Practical experience with LLM APIs and tools ...

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

New

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

Strong Python proficiency for data analysis, modeling and deep learning frameworks (PyTorch or ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

New

Deep understanding of RDBMS, database syntax, and SQL technologies. Strong familiarity with REST ... Familiarity with machine learning frameworks and concepts. As an equal opportunity employer, we are ...

Showing results 41-60

Deep Learning Developer information

What are the key skills and qualifications needed to thrive as a deep learning developer?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
Infographic showing various Deep Learning Developer job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 19% Part Time, 1% Temporary, 2% Contract, and 10% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Full-time

Medical, Retirement, PTO

Posted 19 days ago


Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 299 frontline employees who took The Breakroom Quiz

114th of 537 rated manufacturers


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 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:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

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.


What you will do

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.


What you will bring

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.


Key Competencies

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:

$90,900.00 - $189,800.00

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.

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:

No

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.


What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Trane Technologies logo

About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US