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Associate Machine Learning Jobs in Quebec (NOW HIRING)

Research Associate

Montreal, QC · On-site

CA$35.37/hr

The Research Associate will work in collaboration with the Research Supervisor, to develop and ... Advanced knowledge of machine learning for speech analysis. This position is covered by the AMURE ...

Ensure machines are always stocked with paper, toners, and supplies. Catalogue all print orders ... Learning and Development Programs * Associate Recognition Programs We value transparency in our ...

Ensure machines are always stocked with paper, toners, and supplies. Catalogue all print orders ... Learning and Development Programs * Associate Recognition Programs We value transparency in our ...

CA$20.35 - CA$22.10/hr

If you're also naturally curious and eager to keep learning, consider starting or growing your ... In addition, most Freight Team Associates operate reach trucks, forklifts and order picker machines ...

CA$20.35 - CA$22.10/hr

If you're also naturally curious and eager to keep learning, consider starting or growing your ... In addition, most Freight Team Associates operate reach trucks, forklifts and order picker machines ...

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Associate Machine Learning information

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Quebec? The most popular types of Machine Learning jobs in Quebec are:
What cities in Quebec are hiring for Associate Machine Learning jobs? Cities in Quebec with the most Associate Machine Learning job openings:

Research Associate

Mcgill

Montreal, QC • On-site

CA$35.37/hr

Full-time

Posted 19 days ago


Job description

Please refer to theHow to Apply for a Job (for External Candidates)job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

Position Summary:

The Research Associate will work in collaboration with the Research Supervisor, to develop and conduct research projects, and is responsible for achieving the project's objectives. The work will be focused on investigating, analyzing and writing up projects related to building a program for speech-based monitoring of neurodegeneration using behavioural and neuroimaging datasets combined with machine learning/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design and development of the research methods, the data collection and analysis, and the interpretation of results. They will lead the analysis and interpretation of research data and the dissemination of the results. They will work with collaborative teams on the multidisciplinary aspects of the research projects and will also participate in the supervision of trainees, if required.

Qualifications:

PhD in computer science required. Experience in linguistics and a strong work record designing and implementing core architecture for a toolkit that can run experiments for any machine learning task that has speech as an input.

Other Qualifying Skills and Abilities:

Excellent written and verbal communication skills.

Ability to guide graduate students and summer trainees.

Ability to work in a multidisciplinary team environment.

Strong organization skills, attention to detail and priority setting skills.

Ability to work autonomously in a complex, changing, deadline-oriented environment.

Advanced knowledge of machine learning for speech analysis.

This position is covered by the AMURE Collective agreement. http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf
Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.

Knowledge of English: McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. The level of English required for this position has been assessed at a level 4 on a scale of 0-4.

For a definition of our language proficiency levels, please click here.

Hourly Salary:

$35.37

Hours per Week:

35 (Full time)

Location:

Montreal Neuro.

Supervisor:

Professor (Research)

Position Start Date:

2026-11-20

Position End Date:

2028-03-19

Deadline to Apply:

2026-08-03

This position is covered by the Association ofMcGill University Research Employees(AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.