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Deep Learning Engineer Jobs in Quebec (NOW HIRING)

... deep learning and development frameworks (keras, tensorflow, pytorch, etc.) for advanced analytics * Knowledge of generative AI models and solutions (synthetic data, LLMs, prompt engineering, etc ...

Choisir l'approche selon le probleme : vision classique (morphologie, filtrage, calibration, stereovision) ou Deep Learning (detection et segmentation temps reel avec YOLO ou architectures similaires ...

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Deep Learning (PyTorch), DeepAR, ARIMA/SARIMA, Prophet, ensemble methods, and Croston/TSB. * Own ...

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Deep Learning (PyTorch), DeepAR, ARIMA/SARIMA, Prophet, ensemble methods, and Croston/TSB.Own the ...

Strong knowledge of applying statistical techniques, machine learning, and deep learning to solve ... You enjoy and are highly proficient in Python and C++ programming. * Excellent communication skills ...

... deep learning and advanced techniques * Experience with Large Language Models, RAG, and Copilot ... Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn ...

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Deep Learning Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Engineer or AI research director, often involving advanced skills in machine learning frameworks, data modeling, and large-scale system development. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge AI research environments.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data science, and machine learning can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. Roles like senior software engineers, machine learning engineers, and data architects at large tech companies or startups often reach this compensation level through base salary, bonuses, and stock options.

What do deep learning engineers do?

Deep learning engineers develop and implement neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. They work with large datasets, use frameworks like TensorFlow or PyTorch, and often require knowledge of programming, mathematics, and machine learning principles.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What engineers make $300,000 a year?

Senior deep learning engineers and AI specialists with extensive experience, advanced skills in machine learning frameworks, and strong domain knowledge can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as technology, finance, or healthcare, typically involving leadership responsibilities and complex project management.
What are popular job titles related to Deep Learning Engineer jobs in Quebec? For Deep Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Quebec look for? The top searched job categories for Deep Learning Engineer jobs in Quebec are:
Senior HVAC Controls & Automation Engineer (BAS) - remote

Senior HVAC Controls & Automation Engineer (BAS) - remote

trane technologies

Montreal, QC • On-site, Remote

Full-time

Posted 3 days ago


Trane Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 291 frontline employees who took The Breakroom Quiz

133rd of 527 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:

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

What's in it for you:

A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.

BrainBox AI utilizes self-adapted artificial intelligence technology to proactively optimize the energy consumption of one of the largest climate change contributors: Buildings. Our AI engine supports a self-operating building that requires no human intervention. Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously optimizes existing Heating, Ventilation, and Air Conditioning (HVAC) control systems for maximum impact on energy consumption. An exciting opportunity awaits the right candidate to be part of a fast-growing company. We are seeking anSenior HVAC Controls & Automation Engineer (BAS).

What you will do:

  • Collaborate with internal and external customers to design and implement innovative HVAC control sequences. Provide experttroubleshootingsupport and guidance to resolve system issues. Advise stakeholders on optimizing and enhancing control system performance to meet operational and energy efficiency goals
  • Coordinate with development and product teams to automate deployments and develop tools that streamline system rollouts, including products powered by our AI-driven optimization algorithms.
  • Support, debug, and continuously improve global smart building deployment tools, algorithms, templates, and processes to ensure scalability and reliability.
  • Develop and maintain web-based monitoring, data-driven analytics, and building control systems meeting internal and external client needs.
  • Collaborate cross-functionally to test, troubleshoot, bug-fix, and implement solutions across all deployed technologies-including AI algorithms and building controls.
  • Implement automation and process improvements for sustainable, self-operating services.
  • Manage new tools and features user acceptance testing and knowledge transfer to Operations team
  • Document work processes and technical procedures, including deployed algorithms, internal tools, and systems.
  • Balance priorities and time across multiple projects, ensuring on-time deliverables and accurate timesheet reporting.
  • Perform other related tasks as assigned.

What you will bring:

  • Bachelor's degree in Mechanical Engineering, HVAC Controls Engineering, or a related field.
  • 5+ years' experience in smart building or automation contexts.
  • Demonstrable experience working with, supporting, or deploying technical solutions and solid understanding of software engineering concepts, strategies, and best practices.
  • Familiarity with HVAC systems, building automation systems (BAS), and communication protocols (BACnet,Modbus,LonWorks), as well as control hardware.
  • Ability to read and interpret mechanical and electrical schematics.
  • Strongtroubleshootingand analytical skills.
  • Excellent communication and teamwork abilities; able to work in Agile frameworks.

Nice to Have

  • Familiarity with cloud platforms and deployment automation.
  • Experience with AI, machine learning, or IoT in smart building contexts.
  • Experience with programming platforms such as Trane Tracer, Siemens Desigo, Honeywell WEBs, Distech Controls, Niagara Framework, and Johnson Controls Metasys.

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.

Annual Base Salary Range or Hourly Base Pay Range:

$66,300.00 - $120,084.99

Compensation Type:

Salary

Incentive Eligible:

No

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.

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.

Employment Type: FULL_TIME

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