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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

trane technologies

Jr Software Engineer

Montreal, QC · On-site +1

As a Junior Software Engineer, you will work alongside experienced software developers, data scientists, and machine learning engineers to support the systems that power BrainBox AI's autonomous HVAC ...

Trane Technologies

Jr Software Engineer

Montreal, QC · On-site +1

As a Junior Software Engineer, you will work alongside experienced software developers, data scientists, and machine learning engineers to support the systems that power BrainBox AI's autonomous HVAC ...

Apertera

Generative AI Software Engineer

Montreal, QC · On-site

Work closely with machine learning engineers and data scientists to design, build, and test models. * Contribute to technological innovations by staying current to the cutting-edge achievements of ...

GIRO, Inc.

Junior Data Scientist

Montreal, QC · On-site +1

... machine learning methods: Data manipulation and transformation Model selection, training, and validation Programming and integration into our software product suite * Documenting and testing ...

Progi

Senior Cloud Data Engineer

Trois-rivieres, QC

... Machine Learning / AI en production . Vous agirez en propriétaire end-to-end des pipelines de ... engineering orientée performance et valeur métier Profil recherché Expérience Minimum 5 ans ...

Giesecke+Devrient

Senior Data Scientist

Montreal, QC · On-site

The ideal candidate will combine strong expertise in machine learning, statistical modeling ... Work closely with engineering teams to productionize models and analytical pipelines * Ensure ...

Xsolla

Lead AI/ML Engineer

Montreal, QC

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

NavitasPartners

MLOps Engineer (BFSI)- MLEBAS

Quebec, QC · On-site

$30/hr

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

NavitasPartners

MLOps Engineer (BFSI)- MLEBAS

Laval, QC · On-site

$30/hr

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

NavitasPartners

CA$30/hr

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: * Build ML deployment ...

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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 Jun 12, 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 engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

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 job categories do people searching Junior Machine Learning Engineer jobs in Quebec look for? The top searched job categories for Junior Machine Learning Engineer jobs in Quebec 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,158 per year, or $57.3 per hour.
Jr Software Engineer

Jr Software Engineer

trane technologies

Montreal, QC • On-site, Remote

Full-time

Posted 19 days ago

Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 285 frontline employees who took The Breakroom Quiz

107th of 518 rated manufacturers

Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Our BrainBox AI Workplace Presence model dedicates specific in-office days each month to focus on relationships, learning and innovation.What's in it for you:

Join BrainBox AI's Algorithm Team in Montreal and help build technology that makes commercial buildings smarter, more efficient, and more sustainable. As a Junior Software Engineer, you will work alongside experienced software developers, data scientists, and machine learning engineers to support the systems that power BrainBox AI's autonomous HVAC optimization platform. This is an excellent opportunity to grow your software engineering skills in a collaborative, innovative, and mission-driven environment while contributing to solutions with real-world environmental impact.

What you will do:

  • Support the development and maintenance of backend services for the Algorithm Team's platform and tools.

  • Contribute to building APIs and microservices using Python and FastAPI.

  • Assist in implementing and improving data processing workflows using Kafka and related streaming technologies.

  • Help develop and maintain cloud-based applications and services deployed on AWS.

  • Support the design and maintenance of DynamoDB data models and other application data structures.

  • Work with Docker to containerize applications and support consistent deployment practices.

  • Collaborate with senior developers, data scientists, and cross-functional teammates to deliver technical solutions.

  • Participate in code reviews, testing, debugging, and troubleshooting activities.

  • Write clean, maintainable, and well-documented code following engineering best practices.

  • Contribute to Agile team ceremonies such as sprint planning, stand-ups, and retrospectives.

  • Learn and work with internal tools or frameworks such as Kiro as needed.

What you will bring:

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

  • 0-3 years of software development experience, including internships, co-op terms, or entry-level professional experience.

  • Foundational proficiency in Python for backend development.

  • Exposure to API or microservice development, ideally with FastAPI or similar frameworks.

  • Basic understanding of cloud platforms such as AWS.

  • Familiarity with Docker and container-based development workflows.

  • Exposure to NoSQL databases such as DynamoDB or similar technologies.

  • Basic understanding of event-driven systems or messaging tools such as Kafka is an asset.

  • Strong problem-solving skills and willingness to learn in a fast-paced technical environment.

  • Ability to collaborate effectively with teammates and communicate clearly.

  • Eagerness to learn new tools, systems, and engineering practices.

Language Requirements
French-English bilingualism is required.
In addition to fluency in French, successful candidates must have full professional proficiency in English in order to support and collaborate with English-speaking clients, colleagues and/or various stakeholders.

Annual Base Salary Range or Hourly Base Pay Range:

$59,500.00 - $84,560.00

Compensation Type:

Salary

Incentive Eligible:

No

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

This posting is for an existing vacancy. The position is imminently available, and qualified candidates will be considered for immediate placement.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Employment Type: FULL_TIME

What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US

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