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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

Capco

Machine Learning Engineer

Montreal, QC

Design, build, and optimize machine learning models that power data-driven decisions The Role We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and ...

Giesecke+Devrient

AI Data Engineer

Montreal, QC · On-site

This role will support both AI engineering initiatives and machine learning projects by making enterprise data reliable, accessible, well-structured, and ready for production use. This role is ...

Royal Bank of Canada

Research Engineer

Montreal, QC · On-site

We're looking for an enthusiastic Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ...

Trane Technologies plc

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 ...

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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.
Expert Machine Learning Engineer / Ingénieur expert en apprentissage automatique

Expert Machine Learning Engineer / Ingénieur expert en apprentissage automatique

SAP

Montreal, QC • On-site

Full-time

Posted 8 days ago

Job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

Machine Learning Engineer Expert

About the Role

We are seeking a highly motivated Machine Learning Engineer Expert to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI. You will work across customer projects, strategic product development, and research initiatives making a real-world impact from day one.

This position is ideal for a seasoned AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. In this position, you will work on cutting-edge AI projects with direct customer impact.

What You’ll Do

Collaborating with product & engineering leaders, executives, customers and other senior stakeholders, you will plan, direct, and deliver prototype and production grade AI solutions for strategic business problems.

  • Mathematical Modeling & Algorithm Design
    • Translate complex business problems into mathematical or computational models.
    • Design, implement, and optimize machine learning algorithms and data mining workflows
  • Rapid Prototyping & Customer Engagement
    • Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept as well as production-grade AI solutions
    • Build, integrate, and test AI-driven prototypes and applications for real-world use cases
  • AI Development & Research
    • Support internal teams by designing and implementing novel machine learning algorithms
    • Apply recent research breakthroughs to practical problems to create measurable business value
    • Contribute to continuous improvement of system scalability, performance, and explainability
  • Communication & Collaboration
    • Clearly communicate complex results and insights to both technical and non-technical stakeholders
    • Visualize and document findings to ensure transparency and reproducibility
    • Work cross-functionally with product, engineering, and research teams to drive AI adoption

Due to the global nature of the team and the customers we serve, the team is completely results-oriented, where team members work during their own local working hours while allowing time to meet with their fellow team members, managers, and customers at mutually convenient times.

Application Requirement: 

English-language resumes are required for this position. Please submit your application details (resume/cover letter) in English.

What You Bring

  • Education & Experience
    • Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
    • 10+ years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)
  • Technical Skills
    • Strong background in machine learning, deep learning, data mining, and/or optimization
    • Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn)
    • Extensive experience working with real-world datasets, data preprocessing, and model deployment
    • Expertise working with cloud environments (AWS, Azure, GCP)
  • Core Competencies
    • Ability to translate abstract business challenges into concrete AI solutions
    • Strong analytical, problem-solving, and mathematical modeling skills
    • Curiosity and initiative in exploring new AI techniques and applications
    • Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks
    • Write production-grade Python code
    • Excellent communication and collaboration skills, especially in customer-facing environments
    • Commitment to ethical and explainable AI practices
    • Significant experience with agile software development methods

Meet Your Team

The Intelligence Team within Application AI is the team responsible for performing advanced R&D and AI application development for SAP Business Suite Finance & Spend. Our solutions work across SAP business applications to deliver on the company’s suite-first, AI-first promise. We are a group of globally distributed AI scientists that collaborate in a multidisciplinary environment with customers, product managers, and full-stack engineers. In this role, you will gain exposure to diverse problem domains; no two projects are the same. We foster a culture of innovation where new ideas are encouraged and valued.

French Job Description

Ingénieur expert en apprentissage automatique

À propos du rôle

Nous recherchons un(e) Ingénieur(e) expert(e) en apprentissage automatique hautement motivé(e). Il ou elle rejoindra notre équipe et travaillera directement avec les clients pour résoudre des problèmes compliqués. À ce poste, vous appliquerez des techniques avancées en matière d’apprentissage automatique et de science des données, pour développer des prototypes rapidement, générer de la valeur et repousser les limites du possible avec l’IA. Vous interviendrez sur les divers projets clients, le développement de produits stratégiques et des initiatives de recherche aboutissant à des résultats concrets dès le jour 1.

Le candidat idéal sera un(e) professionnel(le) expérimenté(e) dans l’IA, ayant des acquis techniques solides, le sens des affaires et un fort désir de rapprocher innovation théorique et applications pratiques.  À ce poste, vous travaillerez sur des projets d’IA de pointe qui changent la donne pour les clients.

Votre rôle

En collaboration avec les responsables produits et ingénierie, les cadres dirigeants, les clients et d’autres parties prenantes haut placés, vous planifierez, dirigerez et livrerez des solutions d’IA aux stades du prototypage et de la production pour résoudre des problèmes stratégiques.

  • Modélisation mathématique et conception d’algorithmes
    • Créer des modèles mathématiques ou de calcul en réponse à des problèmes complexes
    • Concevoir, implémenter et optimiser des algorithmes d’apprentissage automatique et des flux d’exploration des données
  • Prototypage rapide et relations avec les clients
    • Collaborer directement avec les clients pour comprendre les besoins, définir les exigences et présenter des démonstrations de faisabilité ainsi que des solutions d’IA au stade de la production
    • Créer, intégrer et tester des prototypes et applications pilotés par l’IA pour des cas d’utilisation concrets
  • Développement de l’IA et recherches connexes
    • Aider les équipes internes à concevoir et implémenter des algorithmes d’apprentissage automatique novateurs
    • Appliquer les récentes découvertes à des problèmes pratiques afin de créer une valeur mesurable
    • Contribuer à l’amélioration continue en ce qui concerne l’évolutivité, la performance et l’explicabilité des systèmes
  • Collaboration et communication
    • Communiquer clairement des résultats et renseignements complexes aux parties prenantes techniques et non techniques
    • Détecter et documenter les résultats pour garantir la transparence et la reproductibilité
    • Travailler de manière transversale avec les équipes de produits, d’ingénierie et de recherche pour favoriser l’adoption de l’IA

En raison du caractère international de l’équipe et de nos clients, les membres de l’équipe sont pleinement orientés vers les résultats : ils travaillent durant les heures d’ouverture locales, tout en se ménageant du temps pour s’entretenir avec les autres membres de l’équipe, les responsables et les clients à des créneaux fixés d’un commun accord.

Exigence de candidature : 

Pour ce poste, les CV doivent être rédigés en anglais. Veuillez envoyer votre candidature (CV/lettre de motivation) en anglais.

Votre profil

  • Formation et expérience
    • Maîtrise ou doctorat en informatique, mathématiques appliquées, statistiques, ingénierie ou dans un domaine lié
    • Au moins 10 ans d’expérience dans l’apprentissage automatique, la science des données ou la recherche en matière d’IA (projets sectoriels, en laboratoire de recherche ou académiques avancés)
  • Compétences techniques
    • Solide expérience en apprentissage automatique, apprentissage profond, exploration des données et/ou optimisation
    • Maîtrise de Python et des bibliothèques d’apprentissage automatique (par exemple, PyTorch, TensorFlow, scikit-learn)
    • Vaste expérience de travail avec des jeux de données réels, le pré-traitement des données et le déploiement de modèles
    • Expertise dans l’utilisation des environnements infonuagiques (AWS, Azure, GCP)
  • Compétences essentielles
    • Capacité à livrer des solutions d’IA concrètes en réponse à des problèmes abstraits
    • Compétences avancées en matière d’analyse, de résolution des problèmes et de modélisation mathématique
    • Curiosité et propension à explorer de nouvelles techniques d’IA et applications
    • Capacité à recueillir et traiter les données nécessaires en recourant aux infrastructures des mégadonnées et à des outils de traitement/transformation des données tels que Databricks
    • Codage en Python au stade de la production
    • Excellentes compétences en communication et collaboration, en particulier au contact de la clientèle
    • Engagement à adopter des pratiques éthiques et explicables en matière d’IA
    • Expérience significative dans les méthodes de développement de logiciels agile

Votre équipe

L’équipe en charge de l’intelligence (Intelligence Team), au sein de SAP Application AI, est responsable des activités de R&D avancées et du développement d’applications IA pour la partie Finances et Dépenses de SAP Business Suite. Fidèles à la promesse de notre société de privilégier l’IA et les suites, nos solutions couvrent toutes les applications métier de SAP. Notre groupe d’experts spécialisés dans l’IA, répartis dans le monde entier, collaborent dans un environnement pluridisciplinaire avec des clients, des responsables produits et des ingénieurs généralistes. À ce poste, vous serez confronté à divers domaines posant problème, et aucun projet ne sera identique. Nous prônons une culture de l’innovation, dans laquelle chaque nouvelle idée est encouragée et valorisée.

#SAPAICareers #SAPAIAPP

#LI-AK5 

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the c...

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