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Entry Level Machine Learning Engineer Jobs in Quebec

Side

Microservices AI Developer

Montreal, QC

The team serves as the hub for AI and machine learning across the entire organization and all our ... Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept ...

Actalent

CA$198K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... Screening potential consultants through interviews and reference checks, while learning about their ...

Actalent

CA$198K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... Screening potential consultants through interviews and reference checks, while learning about their ...

Actalent

$42K - $57K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... Screening potential consultants through interviews and reference checks, while learning about their ...

Side

Microservices AI Developer

Montreal, QC · On-site

The team serves as the hub for AI and machine learning across the entire organization and all our ... Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept ...

Crakmedia

Ingenieur MLOps

Montreal, QC

... Ingenieur MLOps, c'est faire partie d'une equipe allumee et motivee par la donnee et ... le Machine Learning qui carbure a la resolution de problemes et la creation d'impacts positifs.

BBA, Inc.

Junior Advisor, Asset Analytics

Montreal, QC · On-site

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... Support the development of new decision-making technologies leveraging advanced machine learning ...

Ericsson

Full-Stack Developer Co-op

Montreal, QC · On-site

Working towards a Bachelors or Masters degree in artificial intelligence/machine learning, Computer Science, Computer Engineering, and also in software development Experience developing Web ...

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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 Sep 2, 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 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 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 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 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:

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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,195 per year, or $41.9 per hour.

Microservices AI Developer

Side

Montreal, QC

Contractor

Re-posted 10 days ago

Job description

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in Japan in 1994, Side has grown to become a global force in the video game industry, with over 40 studios in 15 countries worldwide and offices across North America, Europe, South America, and Asia.

Our industry-leading services include codev, art production, localization, audio production, quality assurance, localization QA, player support, community management, and datasets.

Help us bring stories to the world. Join Side's global team of passionate gamers and contribute to top-notch game development. Discover opportunities in Asia, North America, South America, Europe, and beyond.

Experience our side of life! For more information, visitwww.side.inc

About This Opportunity

As an AI Microservices Developer, you will be responsible for creating APIs that leverage

Large Language Models (LLMs) and Generative AI models to build products and perform

business process automation tasks. You will be expected to manage your own projects,

develop them in Python, and work with the DevOps team to deploy these projects as

micro-services in a cloud environment. You will support game services, products,

games, and internal functions across the organization

This role sits on Side's Artificial Intelligence team and reports to the Head of Artificial

Intelligence. The team serves as the hub for AI and machine learning across the entire

organization and all our brands. We collaborate on cross-functional projects that range

from internal tools to user-facing product features. You will partner with stakeholders

throughout the organization to align on requirements, set expectations, and deliver API

solutions.

Key Responsibilities

  • Develop and Architect Python-based API Microservices that make calls to LLMs and other generative models to support business needs.
  • Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs.
  • Keep up with the latest LLM technologies including OpenAI, Llama and Gemini.
  • Understand and become the company's expert in LLM and Generative AI API methods and Open Weights model deployment.
  • Work as a product manager to understand the business needs for business process automation tasks. Turn business needs into API requirements for microservices.
  • Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept functional.
  • Assist in the integration of your API microservices with other software and tools throughout the organization.
  • Refine and optimize AI systems throughout the project lifecycle to ensure performance and functionality across platforms.
  • Write and debug core AI code, ensuring maintainable and scalable solutions.
  • Develop tools and utilities to support AI development and testing.
  • Proactively identify and address challenges related to AI development, devising creative and effective solutions.
  • Maintain regular communication with cross-disciplinary teams to ensure cohesive development.

Apply