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Artificial Intelligence And Machine Learning Jobs in Quebec

Familiarity with legal issues relating to artificial intelligence, machine learning, blockchain, or other emerging technologies. * Experience advising on internet law, digital content regulation, or ...

Legal Counsel

Montreal, QC ยท On-site +1

Familiarity with legal issues relating to artificial intelligence, machine learning, blockchain, or other emerging technologies. * Experience advising on internet law, digital content regulation, or ...

Junior Machine Learning Engineer

Montreal, QC ยท On-site

CA$80K - CA$95K/yr

Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline. * Practical experience with machine learning ...

Applied Machine Learning Scientist II

Montreal, QC ยท On-site

CA$125K - CA$154K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $125,500 - $154,000 CAD The pay details ... We're looking for a highly motivated Applied Machine Learning Scientist II to join our AI2 team. In ...

We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI ... Lead with humility to cultivate an inclusive, collaborative and intellectually rigorous environment.

D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You have at least 5 years of relevant experience in data science or a similar role. * You have strong ...

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. A Master's degree is preferred. * 2+ years of industry experience developing GenAI and LLM ...

Experience in practical machine learning applications and development * Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges * Programming and ...

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification methodologies for potential incorporation into company products and services. * Assist in developing ...

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Artificial Intelligence And Machine Learning information

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What job categories do people searching Artificial Intelligence And Machine Learning jobs in Quebec look for?

The top searched job categories for Artificial Intelligence And Machine Learning jobs in Quebec are:

What cities in Quebec are hiring for Artificial Intelligence And Machine Learning jobs?

Cities in Quebec with the most Artificial Intelligence And Machine Learning job openings:

Infographic showing various Artificial Intelligence And Machine Learning job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Applied Machine Learning Scientist II (ATH # 5215)

Montreal, QC โ€ข On-site

CA$125K - CA$154K/yr

Full-time

Posted 21 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$125,500 - $154,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

*Department Overview

TD Model Validation (MV) group is responsible for the independent validation and approval of models used forAgentic AI,Generative AI, Natural Language Processing (NLP), credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

*Job Description

The position reports to SeniorApplied Machine Learning Scientist(Generative AI),inthe AI/ML Model Validation team and is primarily focused on the validation and review of Generative AI and Deep Learning models.

Detailed accountabilities include:

  • Validate (review, test, and provide effective challenge) AI/ML models, particularly Generative AI and Deep Learning models.

  • Conduct R&Din the area ofGenAI / Agentic AI / LLM evaluation, testing, explainability.

  • Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets.

  • Maintain full professional knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management.

  • Develop/implement AI/ML model validation methodologies and standards. Ensure that the validation methodologies and standards are in line withindustrybest practices and address regulatory and audit requirements.

  • Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable.

  • Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with different internal partners suchas AI2, Layer6, P&T, and FCRM.

*Job Requirements

  • Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, machine learning, engineering, statistics, mathematics, or physics.

  • Proven experience as Generative AI Scientist, Machine Leaning Scientist, or a similar role.

  • Ability to work independently and collaboratively in a fast-paced, dynamic environment. Great time management and multitasking skills with minimal supervision.

  • Experience with and strong knowledge of AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models

  • Experience with Deep Learning and Generative AI technology stacks and libraries such asPyTorch,LangChain,HuggingFace,PromptFlow, etc.

  • Motivated to stay up to date with the latest advancements in Generative AI, Prompt Engineering, Machine Learning, and Cloud technologies.

  • Proficient in scripting/programming language-Python.

  • Familiarity with cloud platforms (e.g., Azure, AWS).

  • Familiarity with Data Structures, Algorithm design, and principles of Object-Oriented Programming (OOP).

  • Knowledge of machine learning explain-ability/interpretability algorithms.

  • Excellent verbal and written communication skills. The position requires writing clean technical reports.

* Nice to have qualifications

  • Publications in the relevant conference and journalsisa plus.

  • Ability to implement AI/ML algorithms from academic research papers is a plus.

  • Knowledge of SQL and database systems.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Ce poste n'exige pas la maitrise d'une langue autre que le francais.