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New Grad Machine Learning Jobs in Quebec (NOW HIRING)

... new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next ...

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... new business opportunities while championing data-driven decision-making and the accelerated adoption of AI. As a Machine Learning Specialist on the team, you will combine your expert knowledge of ...

... new business opportunities while championing data-driven decision-making and the accelerated adoption of AI. As a Machine Learning Specialist on the team, you will combine your expert knowledge of ...

We are seeking a technical and execution-focused Data Engineer to join G+D's new AI Hub. The ideal ... This role will support both AI engineering initiatives and machine learning projects by making ...

Comfortable learning new tools, technologies, and best practices What will make you stand out: * Familiarity with Kubernetes or Terraform * Exposure to machine learning workflows or model deployment

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New Grad Machine Learning information

What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?

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 are some typical challenges new graduates might 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 are 'New Grad Machine Learning' roles?

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 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.

What are popular job titles related to New Grad Machine Learning jobs in Quebec? For New Grad Machine Learning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Quebec look for? The top searched job categories for New Grad Machine Learning jobs in Quebec are:
What cities in Quebec are hiring for New Grad Machine Learning jobs? Cities in Quebec with the most New Grad Machine Learning job openings:
Infographic showing various New Grad Machine Learning job openings in Quebec as of May 2026, with employment types broken down into 4% As Needed, 75% Full Time, 13% Part Time, 4% Temporary, and 4% Contract. Highlights an 49% Physical, 3% Hybrid, and 48% Remote job distribution.
Machine Learning Engineer

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


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7.8

Company rating: 7.8 out of 10

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Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Primary Responsibilities:

The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME's and understand the business requirements proper python code development. Good candidate should be familiar with ongoing monitoring.

  • Contribute to development and maintenance of the python library.
  • Contribute to the support of the library.
  • Participate in prompt engineering.
  • Maintain the prompts and keep them up to date with the new LLM versions.
  • Conduct regular testing and performance analysis.
  • Participate in prompt benchmarking experiments.
Skills Required:
  • Bachelor's in computer science or related field
  • Years of experience: 5+
  • Hands-on experience in building python applications
  • Excellent Python development skills
  • Excellent architecture design skill for enterprise applications.
  • Knowledge of object-oriented programming and design patterns
  • Knowledge of system resiliency, observability, scalability and performance
  • Experience of Agile development
  • Strong analytical skills and passion for problem-solving
  • Good communication skills
Skills Desired:
  • Experience with Open AI and different LLM models, conduct testing and performance evaluation is required.
  • Experience with Java development
  • Experience with machine learning, vector databases
  • Cloud-based application development preferably using Microsoft Azure Cloud
  • Prior experience in FinTech application development
  • Exposure to working in a global delivery team
Skill Area Match Level Notes:
  • Real-time GenAI Solutions: Strong - Chatbot, prompt workflows, OpenAI API
  • AI Agent Development: Strong - LangChain agents, multi-turn flow
  • Agentic Libraries (LangChain, etc.): Strong - FAISS, LangChain, Ollama used extensively
  • Architecture / Design Patterns (RAG): Strong - Multiple RAG implementations
  • Frameworks (CrewAI, Semantic Kernel)

The base compensation range for this role in the posted location is: CAD$ 85,000 to CAD$ 100,000 / Year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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About United Airlines

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United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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