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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

Xsolla

Lead AI/ML Engineer

Montreal, QC · On-site

CA$130K - CA$160K/yr

Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning * Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake

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 ...

United Airlines

GenAI Engineer

Montreal, QC · On-site

You will develop advanced machine learning algorithms, optimize open-source frameworks, and ... Framework & Pipeline Engineering Build scalable pipelines for data preprocessing, feature ...

LawZero

Senior Distributed ML Engineer

Montreal, QC · On-site

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 ...

Jestais

Position Summary We are looking for a Senior MLOps Engineer to design, build, and maintain the data and machine learning pipelines that power our AI and analytics platforms. This is a deeply hands-on ...

New

AC780

Paytm Senior Software Engineer

Montreal, QC · On-site

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 ...

trane technologies

Senior Data Scientist

Montreal, QC · On-site

... machine learning, and generative AI solutions that support engineering use cases such as data ... Mentor junior team members, contribute to team standards, and help build repeatable methods for AI ...

Autodesk

Senior Applied AI/ML Developer

Montreal, QC · Remote

... Developer Position overview As a Senior ML Developer on the team, you will be responsible for ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

LawZero

Senior ML Research Developer

Montreal, QC · On-site

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 ...

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 ...

TELUS

Staff Applied AI/ML Scientist

Quebec, QC · On-site

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Quebec

Junior Machine Learning Engineer information

See Quebec salary details

$26K

$119.2K

$207.5K

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

As of Aug 13, 2026, the average yearly pay for junior machine learning engineer in Quebec is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
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 Junior Machine Learning Engineer jobs in Quebec? For Junior Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What cities in Quebec are hiring for Junior Machine Learning Engineer jobs? Cities in Quebec with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $119,158 per year, or $57.3 per hour.

Lead AI/ML Engineer

Xsolla

Montreal, QC • On-site

CA$130K - CA$160K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago

Job description

ABOUT YOU
 
We're seeking a Lead AI/ML Engineer to architect and scale our data infrastructure supporting personalization, churn prediction, and recommendation systems across Xsolla's global gaming commerce platform. You'll lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines integrating multiple sources, and establish best practices for data quality, governance, and performance. This role combines hands-on technical leadership with cross-functional collaboration, mentoring engineers, partnering with data science and backend teams to productionize ML features, and working directly with the Director of Data Platforms to translate business needs into technical solutions. You'll be instrumental in shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we serve game developers worldwide.
 
ABOUT US
 
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
  • Design, build, and optimize algorithms in Vertex AI
  • Develop scalable data models and algorithms supporting user 360 views, churn prediction, and recommendation engine inputs
  • Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway
  • Implement CI/CD for data pipelines using Git, dbt, and automated testing
  • Define data quality checks and auditing pipelines for ingestion and transformation layers
  • Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning
  • Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake
  • Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII)
  • Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications
  • Tune algorithm performance
  • Establish data partitioning, clustering, and materialized views for fast query execution
  • Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight)
  • Establish and enforce naming conventions, data lineage, and metadata standards across schemas
  • Lead code reviews, enforce documentation standards, and manage schema versioning
  • Contribute to the company's evolving data mesh and streaming architecture vision
Qualification & Skills:
  • 5+ years of experience in AI/ML engineering, with 3+ years in Vertex.ai.
  • Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
  • Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration.
  • Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar).
  • Solid understanding of data modeling (Kimball, Data Vault, or hybrid).
  • Proficiency in Kafka, GCP, or AWS for real-time or batch ingestion.
  • Familiarity with API-based data integration and microservice architectures.
Nice to Have:
  • Experience lead machine learning teams or/and deploying ML feature pipelines.
  • Background in ad-tech, gaming, or e-commerce recommendation systems.
  • Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built).
  • Experience managing small data engineering teams and setting technical direction
  • Strong ownership and ability to work autonomously in a fast-paced environment.
  • Excellent cross-functional communication - can translate between engineering and business.
  • Hands-on problem solver who balances velocity with reliability.
  • Collaborative mentor who raises the bar for team quality and discipline
$130,000 - $160,000 a year
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. 
 
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the Lead AI/ML Engineer we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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