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Entry Level Machine Learning Engineer Jobs in Quebec

... analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ... Utilize machine learning and advanced statistical methods to identify trends and patterns in ...

Experience with developing Machine Learning and statistical models. * Excellent programming skills using notebook environments, e.g. Jupyter, Databricks, and familiarity with SQL, Python (including ...

... Ingenieure MLOps (h/f/d) Innovative Ideen sind das Markenzeichen unserer Erfolge und treiben uns ... Developper, implanter et superviser le cadre de Machine Learning Operations (MLOps) pour assurer la ...

ML Ops Engineer (m/f/d) Innovative ideas are the hallmark of our successes and move us on. We are ... Development, implementation, and monitoring of the Machine Learning Operations framework to ...

MSc or PhD in machine learning or a related field * At least 2 years of experience doing research ... Programming experience with tools such as: Python, PyTorch, Scikit-learn, LangChain, DSPy.

MSc or PhD in machine learning or a related field * At least 2 years of experience doing research ... Programming experience with tools such as: Python, PyTorch, Scikit-learn, LangChain, DSPy.

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Entry Level Machine Learning Engineer information

See Quebec salary details

$21K

$87.2K

$186K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level machine learning engineer in Quebec is $87,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Quebec? For Entry Level Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Quebec are:
Infographic showing various Entry Level Machine Learning Engineer job openings in Quebec as of June 2026, with employment types broken down into 11% Internship, 75% Full Time, 8% Part Time, and 6% Temporary. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $87,195 per year, or $41.9 per hour.

Full-time

Life, Retirement

Posted 13 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

Intact is looking for a Data Scientist to turn complex data into practical solutions (prediction, segmentation, optimization, automation) and to generate actionable insights.

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection, personalization, experimentation, etc.).

The Lab emphasizes rigor (quality, validation, performance monitoring, continuous improvement), collaboration with business and engineering teams, and value-driven innovation, including generative AI and LLMs to speed up access to information, automate processes, and deliver responsible, measurable solutions in production.

What you'll do here:

  • Develop Innovative Solutions: Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.

  • Data Transformation: Convert complex databases into actionable insights and recommendations that can drive business strategy.

  • Stay Current: Keep up with the latest trends and methodologies in data science and incorporate them into your work.

  • Tool and Platform Maintenance: Assist in maintaining and improving our data mining tools and platforms to ensure their efficiency and reliability.

  • Actionable Recommendations: Make strategic recommendations based on data analysis to support decision-making processes.a

  • ross-Department Collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization.

  • Quality Assurance: Validate the quality of analytical approaches and outputs produced by other team members to ensure high standards.

What you bring to the table:

  • Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations research, statistics, geomatics or related field), or an equivalent combination of education and experience. MSc and/or PhD are an asset.

  • Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems.

  • Technical Skills: Proficiency in multiple platforms, including commercial and open-source data mining frameworks such as Python and GitHub.

  • Machine Learning Expertise: Deep understanding of machine learning theories and methodologies.

  • Specialization: Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.

  • Teamwork: Strong enthusiasm for working collaboratively in a team environment.

  • Problem-Solving: Ability to tackle vaguely defined problems with creative and innovative solutions.

  • Communication Skills: Excellent communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders.

  • Time Management: Strong organizational and time management skills to handle multiple projects and meet deadlines.

  • Bilingualism (French / English) - For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.

  • No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.