ZipRecruiter

Log In

2

Entry Level Machine Learning Engineer Jobs in Quebec

ALS

Junior Machine Learning Engineer

Montreal, QC · On-site

CA$80K - CA$95K/yr

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data ...

Ubisoft

Software Engineer - MLOPS

Montreal, QC

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players . You will join the Player ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Apertera

Generative AI Engineer

Montreal, QC · On-site

Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...

Desjardins Group

Data internship, Fall 2026

Levis, QC · Hybrid

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 ...

Coveo

Backend Development Intern, Fall 2026

Quebec, QC · Hybrid

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

Intact Financial

Data Scientist II

Montreal, QC · On-site

... 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 ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Quebec

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 Aug 13, 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 as an entry level machine learning engineer?

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?

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:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Quebec as of August 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 64% In-person, 17% Hybrid, and 19% Remote job distribution, with an average salary of $87,195 per year, or $41.9 per hour.

Junior Machine Learning Engineer

ALS

Montreal, QC • On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

At ALS, we encourage you to dream big.

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.

Specific Responsibilities:

  • Support the development and deployment of machine learning and AI models across ALS business functions.

  • Assist in building AI solutions using Large Language Models (LLMs).

  • Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.

  • Develop, train, test, and evaluate conventional machine learning and deep learning models.

  • Work with structured and unstructured data to support model development, feature engineering, and data preparation.

  • Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.

  • Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.

  • Assist in building model pipelines, experimentation workflows, and deployment processes.

  • Participate in code reviews, technical documentation, testing, and quality assurance activities.

  • Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.

  • Follow ALS standards for security, privacy, data governance, and responsible AI practices.

Required Knowledge, Skills & Abilities:

  • Hands-on experience with Google Cloud Platform (GCP).

  • Experience using cloud AI and machine learning services, model hosting, or MLOps tools.

  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.

  • Experience with APIs, microservices, or integrating machine learning models into applications.

  • Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.

  • Exposure to containerization tools such as Docker.

  • Experience working with enterprise data environments or cross-functional technical teams.

Required Qualifications:

  • Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Practical experience with machine learning, including model training, evaluation, and deployment concepts.

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.

  • Exposure to Large Language Models (LLMs).

  • Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.

  • Programming experience in Python.

  • Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.

  • Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.

  • Ability to work effectively in a collaborative, hybrid team environment.

  • Strong analytical thinking, problem-solving skills, and a willingness to learn.

Physical Demands:

  • Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.

Our benefits includes:

  • An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.

  • Structured wage increases.

  • Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).

  • Additional vacation days for years of service.

  • Business support for education or training after 9 months with the company.

  • Learning & development opportunities (unlimited access to e-learnings and more).

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.

Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How to apply
Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.

Apply