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Machine Learning Engineer Intern Jobs in Quebec (NOW HIRING)

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure ... Collaborate with data scientists to architect, package, configure, and deploy machine learning ...

Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models * Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep ...

... and Programming Director, the intern will support the programmers. Responsibilities Develop or ... Determine required machining steps in collaboration with the Methods Department. Read and interpret ...

Quality and Continuous Improvement Manager Position Overview We are seeking a motivated Engineering ... You'll grow through meaningful work, continuous learning, and support that's tailored to your goals.

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...

Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...

We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...

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Machine Learning Engineer Intern information

See Quebec salary details

$23K

$120.7K

$215.5K

How much do machine learning engineer intern jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning engineer intern in Quebec is $120,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $164,000.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

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 Machine Learning Engineer Intern jobs in Quebec? For Machine Learning Engineer Intern jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Quebec look for? The top searched job categories for Machine Learning Engineer Intern jobs in Quebec are:
What cities in Quebec are hiring for Machine Learning Engineer Intern jobs? Cities in Quebec with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Quebec as of June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Temporary. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $120,739 per year, or $58 per hour.

Data Engineer

Fed IT

Montreal, QC • Hybrid

Full-time

Posted 20 days ago


Job description

Hello,
I'm Robin, recruitment and business development consultant at FED IT, a recruitment agency specializing in IT professions.
I work on two types of recruitment: temporary and permanent.
All our consultants are IT experts who speak your language and work in your environment. We cover the IT, development, business intelligence and infrastructure professions.

Mission

We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks and MLOps practices to ensure our models are robust, scalable, and efficiently deployed into production environments.
Key Responsibilities
Work on the company's data pipeline, contributing heavily to its standardization, development, and optimization.
Build clean Python abstractions and automated pipelines to optimize data ingestion and preprocessing for analytics and machine learning.
Enforce rigorous data quality initiatives, testing, and validations to ensure data integrity across upstream and downstream systems.
Collaborate with data scientists to architect, package, configure, and deploy machine learning models using MLOps frameworks.
Evaluate and integrate new technologies to leverage and scale our current data science engineering stack.
Generate actionable insights for business and infrastructure improvements.

Votre profil

Education
Degree required in Computer Science, Software Engineering, or a related quantitative discipline.
Technical Skills
Expertise in Python development and comprehensive experience with data-handling packages (e.g., Pandas/Polars, NumPy).
Fluency in advanced SQL for complex data query logic.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and Big Data frameworks.
Robust familiarity with MLOps workflows and automation.
Proficiency with Git version control and the Atlassian suite (Jira, Confluence).
Soft Skills
Curiosity and a strong desire to learn and grow.
Ability to take initiative, work independently, and collaborate effectively within a cross-functional squad.
Excellent multitasking capabilities.
Work Authorization
Must be eligible to work in Canada.
Language Requirements
Proficiency in English (spoken and written) is required, as English is the primary working language across teams in Ontario and Quebec. French is considered an asset.
Benefits
Competitive salary.
Performance bonus.
Comprehensive insurance plan.
Hybrid work schedule (3 days in office, 2 days work from home).
Opportunity to work with a dynamic and growing e-commerce leader.
Collaborative and supportive team environment.