Job Description

(English follows)

Stagiaire Co-op - intelligence artificielle

En tant que stagiaire au sein de l'équipe d’intelligence artificielle du groupe technologie global, vous serez impliqué dans la maintenance, la conception, la programmation, les tests et la documentation de logiciels et d'algorithmes, principalement axés sur l’analyse du comportement des systèmes d’Intelligence Artificielle. Le niveau de difficulté sera adapté à votre expérience et votre capacité à relever des défis.

Voici quelques raisons pour lesquelles les employés aiment travailler à CAE!

• Travail significatif qui favorise le perfectionnement professionnel
• Possibilité de travailler dans l’industrie technologique et de s’y épanouir
• Environnement de travail axé sur la collaboration
• Faire partie d’une équipe à haut rendement

Qualifications :

- Actuellement inscrit dans un programme pertinent de premier cycle ou de cycle supérieur (Informatique, Ingénierie, Mathématiques, etc.).

- Solide compréhension des concepts et techniques fondamentaux de l'IA.

- Maîtrise des langages de programmation tels que Python, Java ou C++.

- La familiarité avec les cadres d'apprentissage automatique (par exemple, TensorFlow, PyTorch) est un plus.

- Excellentes compétences en résolution de problèmes et souci du détail.

- Aptitudes efficaces en communication et en travail d'équipe.

Avantages :

- Expérience pratique dans un environnement d'IA dynamique et innovant.

- Mentorat de professionnels expérimentés dans le domaine.

- Possibilité de contribuer à des projets et initiatives d'IA réels.

- Opportunités de réseautage avec des experts de l'industrie et des pairs.

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Co-op Intern - Artificial Intelligence

As an intern within the artificial intelligence team of the global technology group, you will be involved in the maintenance, design, programming, testing, and documentation of software and algorithms, primarily focusing on the analysis of Artificial Intelligence system behavior. The level of difficulty will be adjusted based on your experience and ability to tackle challenges.

Here are a few reasons why employees enjoy working at CAE:

- Meaningful work that promotes professional development

- Opportunity to work and thrive in the technology industry

- Collaborative work environment

- Being part of a high-performance team

Qualifications:

- Currently enrolled in a relevant undergraduate or graduate program (Computer Science, Engineering, Mathematics, etc.)

- Strong understanding of fundamental AI concepts and techniques

- Proficiency in programming languages such as Python, Java, or C++

- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus

- Excellent problem-solving skills and attention to detail

- Effective communication and teamwork abilities

Benefits:

- Hands-on experience in a dynamic and innovative AI environment

- Mentorship from experienced professionals in the field

- Opportunity to contribute to real AI projects and initiatives

- Networking opportunities with industry experts and peers.

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we’ve driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position Type                      

Equal Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available—contact your recruiter or email [email protected] if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.