5 meilleures offres (entry level data scientist, ontario) (à pourvoir)

NEW GRAD AI Developer
CGI —Toronto, ON
- De 50 000 $ à 80 000 $ par an
- Travail hybride
- Informatique
- Ingénierie
- Bases de données
Postuler rapidement
Data and AI Operations Analyst (Cloud), Fall 2026 (Co-op/Internship) - 8 months
BMO Financial Group —Toronto, ON
- De 50 100 $ à 93 000 $ par an
- Temps plein
- Esprit d'analyse
- Affaires
- Compétences en communication
- Bourses d'Études
- Assurance Vie
4 h
Machine Learning Research Engineer
Apple —Waterloo, ON
- De 119 100 $ à 177 700 $ par an
- Doctorat
- Recherche
- Capacités de présentation
- Plan d'actionnariat des employés
- Assurance Dentaire
il y a 9 jours
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
NVIDIA —Toronto, ON
- De 105 000 $ à 185 000 $ par an
- Temps plein
- Doctorat
- Informatique
- Ingénierie
Associate AI Engineer
ShyftLabs —Toronto, ON
- De 60 000 $ à 80 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Ingénierie
- SQL
- Assurance Dentaire
- Assurance Vision
Postuler rapidement

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Data and AI Operations Analyst (Cloud), Fall 2026 (Co-op/Internship) - 8 months
BMO Financial Group —Toronto, ON
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
De 50 100 $ à 93 000 $ par an
4 h

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NEW GRAD AI Developer

CGI -
Toronto, ON

Postuler rapidement

Détails du poste

De 50 000 $ à 80 000 $ par an

Profil recherché

Informatique
Ingénierie
Git
Bases de données
Esprit d'analyse
Apprentissage automatique
APIs
Intelligence artificielle
Évaluation de modèle
Compétences en communication
Python

Description complète du poste

We are looking for passionate, self-driven new graduates who are excited to begin their career in Artificial Intelligence, automation, and digital transformation. This role is ideal for individuals who enjoy experimenting with new technologies, building creative solutions, solving business problems with AI, and continuously learning.

The successful candidate will work with experienced engineers, architects, delivery leads, and business teams to design, build, test, and support AI-enabled solutions. This may include working on generative AI use cases, automation accelerators, intelligent agents, data-driven insights, prompt engineering, and integration of AI capabilities into enterprise applications. CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $50,000-$80,000. This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 2 days per week - subject to change at any time.

Your future duties and responsibilities

Support the design, development, testing, and deployment of AI-enabled solutions and prototypes.
Build and experiment with AI/ML models, generative AI solutions, chatbots, intelligent agents, and automation accelerators.
Assist in developing proof of concepts that solve real business problems using AI, data, and automation.
Work with structured and unstructured data to support model development, analysis, and solution validation.
Support prompt engineering, model evaluation, response testing, and output quality validation.
Collaborate with developers, quality engineers, business analysts, product owners, and architects to understand business needs and convert them into AI-enabled solutions.
Contribute to integration of AI capabilities into applications, workflows, APIs, and cloud platforms.
Support documentation of solution design, assumptions, test results, risks, limitations, and operational considerations.
Learn and apply responsible AI practices including privacy, security, bias awareness, explainability, and human-in-the-loop validation.
Explore opportunities to improve delivery efficiency through AI, reusable components, automation, and accelerators.
Bring fresh thinking, curiosity, creativity, and ownership to identify new ways AI can improve engineering, testing, delivery, and client outcomes.

Required qualifications to be successful in this role

Recent graduate from Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Mathematics, Statistics, or a related program.
Academic, internship, co-op, hackathon, research, personal project, or self-learning experience in AI, machine learning, data science, or automation.
Exposure to Python and common AI/ML libraries or frameworks.
Basic understanding of machine learning concepts, data preprocessing, model training, model evaluation, and experimentation.
Exposure to generative AI concepts, large language models, prompt engineering, embeddings, vector databases, or retrieval-augmented generation would be an asset.
Basic understanding of APIs, databases, cloud platforms, and application integration concepts.
Familiarity with Git, notebooks, development tools, testing, debugging, and documentation.
Demonstrated passion for AI and technology through creative projects, prototypes, automation ideas, AI experiments, hackathons, research, or self-learning.
Strong analytical thinking, problem-solving skills, and ability to work through ambiguity.
Self-driven, proactive, and comfortable asking questions, seeking feedback, and taking ownership.
Strong communication skills with the ability to explain technical ideas in a simple and practical way.
Interest in financial services, digital banking, quality engineering, cloud, automation, or enterprise application delivery would be an asset.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.

Postuler rapidement

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entry level data scientist emplois - ontario

NEW GRAD AI Developer

Data and AI Operations Analyst (Cloud), Fall 2026 (Co-op/Internship) - 8 months

Machine Learning Research Engineer

Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026

Associate AI Engineer

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