ZipRecruiter

Log In

1

Associate Machine Learning Jobs in Quebec (NOW HIRING)

Mcgill

Research Associate

Sherbrooke, QC

CA$35.37/hr

The Research Associate will support Professor Benjamin Fung in conducting research related to data mining, machine learning, artificial intelligence, and cybersecurity. Key Responsibilities:

Mcgill

Research Associate

Sherbrooke, QC

CA$35.37/hr

The Research Associate will support Professor Benjamin Fung in conducting research related to data mining, machine learning, artificial intelligence, and cybersecurity. Key Responsibilities:

Staples Canada ULC

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 ...

Lineage Logistics

Warehouse Associate

Montreal, QC

... machines). * Notifies operational management of any equipment maintenance required. * Reports all ... A career at Lineage starts with learning about our business and how each team member plays a part ...

next page

Showing results 1-20

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Quebec

Associate Machine Learning information

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 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 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 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:

Associate Machine Learning jobs near you

Research Associate

Sherbrooke, QC

Mcgill
See more jobs at Mcgillexternal

CA$35.37/hr

Part-time

Posted 5 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 support Professor Benjamin Fung in conducting research related to data mining, machine learning, artificial intelligence, and cybersecurity.

Key Responsibilities:

  • Perform comprehensive literature reviews in the fields of data mining, machine learning, AI, and cybersecurity.

  • Assist Professor Fung in reviewing research publications.

  • Provide guidance to graduate students involved in research projects.

Qualifications:

  • PhD in Computer Science, Information Science, or Engineering.

  • A minimum of five peer-reviewed publications in data mining, machine learning, AI, or cybersecurity.

  • At least two years of professional experience in data mining, machine learning, AI, or cybersecurity; postdoctoral research experience is also applicable.


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.
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.

Hourly Salary:

$35.37

Hours per Week:

9 (Part time)

Location:

Sherbrooke 680

Supervisor:

Professor

Position Start Date:

2026-10-01

Position End Date:

2027-09-30

Deadline to Apply:

2026-09-03

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.

Apply