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New Grad Machine Learning Jobs in Montreal, QC (NOW HIRING)

National Bank

Data Scientist

Montreal, QC · On-site

... new fields of expertise. Tools such as the Data Academy, language training, career Drive (our ... Proficiency in statistical/econometric and machine learning models * Proficiency in SAS/SQL ...

New

Broadsign Careers

Data Analyst

Montreal, QC · Hybrid

We expect you to contribute creative ideas for new innovations that will help shape our future ... machine learning. Strong problem-solving and critical-thinking skills are critical for this role ...

GenAIz

Solution Specialist

Montreal, QC · Remote

Identify opportunities for new solution development and work with the product team to bring these ... Experience working with AI-powered solutions or machine learning algorithms * Strong analytical and ...

Ironbelly Studios

AI Platform Engineer

Montreal, QC · Hybrid

A Machine Learning research or AI model-building role. We are not developing novel neural network ... Lead technical strategy as we scale to thousands of users, contribute to new industry patterns for ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Montreal, QC

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Team Leader, Artificial Intelligence Sciences

Desjardins Group

Montreal, QC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

As Team Leader, Artificial Intelligence Sciences, you play a key role in developing our scientific practice in AI and implementing AI solutions that support our organization's strategy. Your team's mandate is to develop and train AI models using complex datasets, test new approaches and deliver high-value AI solutions that address the business challenges of our sectors. You're known for building bridges between technical teams and other areas of the organization and helping foster a shared understanding and effective collaboration. You also support the manager of your unit, the Artificial Intelligence Centre of Excellence Department. You'll be called on to work on high-impact, transformational projects. More specifically, you will be required to:

  • Mobilize and support a team of about 10 data scientists in their development and in advancing their expertise.
  • Advance data science and AI practices by establishing the methods, approaches and frameworks that guide the team's work.
  • Promote scientific best practices, including model design, training and evaluation, reproducibility and performance monitoring.
  • Oversee the development of AI models using structured, semi-structured and unstructured data to address complex business challenges.
  • Lead experimentation and applied research activities to test new approaches and generate tangible insights.
  • Assess new market developments, including new algorithms, models and methodologies, and recommend the ones that offer the greatest value for the organization.
  • Work with business partners and product owners to identify and prioritize high-impact AI use cases.
  • Work closely with the AI Engineering team to ensure models are transitioned into robust, scalable solutions.
  • Translate scientific findings into clear recommendations that help guide stakeholders and decision-makers.
  • Contribute to knowledge sharing and promoting AI expertise across Desjardins Group.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in mathematics, statistics, computer science, data science or a related field
  • A minimum of eight years of relevant experience, including at least two years managing a team, AI practices or AI projects
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Experience delivering complex advanced analytics and AI projects
  • In-depth data science experience, including modelling, performance evaluation, validation and AI best practices
  • Experience with modern machine learning techniques, large language models or generative AI
  • Knowledge of French is required
  • Proficiency in the main programming languages and frameworks used in data science and artificial intelligence, such as Python, PyTorch, scikit-learn and SAS
Develops talent, Directs work, Innovation, Vision and purpose


Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Management support and expertise support (FG)

Unposting Date

2026-08-26

Apply