Winter 2026 Co-op: Junior AI Developer (4 months)

CGI; Montreal; On-site; CAD 55,000 - 75,000; Full time

Job summary

A leading tech services company in Montreal seeks a motivated junior AI developer for a co-op position starting Winter 2026. This role offers hands-on experience in AI development, focusing on machine learning and data pipelines. Ideal candidates have strong Python skills, an understanding of ML fundamentals, and bilingualism in French and English. Join a collaborative environment for professional development and networking opportunities.

Benefits

Participate in monthly socials

Professional development workshops

Mentorship from experienced data scientists

Qualifications

• Passion for AI and continuous learning.
• Ability to work independently and as part of a team.
• Excellent verbal and written communication skills.

Responsibilities

• Assist in developing and maintaining machine learning models.
• Support data pipeline development and optimization.
• Help with feature engineering and model evaluation.

Skills

Programming in Python

Understanding machine learning fundamentals

Experience with SQL

Experience with ML frameworks (e.g., TensorFlow)

Knowledge of Git version control

Familiarity with cloud services (AWS, Azure, or GCP)

Strong problem-solving skills

Bilingualism (French and English)

Tools

Jupyter notebooks

Docker

MLflow

Job description

Overview

We are seeking a motivated and technically skilled junior AI developer for a co-op position starting Winter 2026. This role offers a unique opportunity to gain hands-on experience in AI development, machine learning operations, and data pipeline engineering in a collaborative environment.

Start Date: January 5th, 2025

Application Deadline: October 3rd, 2025

Perks of Being a CGI Co-op:

• Participate in monthly socials to meet co-ops across the country.
• Access professional development workshops hosted by domain experts on topics ranging from how to be a top consultant, how to apply the agile methodology, data & analytics and more!

To learn more about CGI and hear from our Co-ops and New Grads, visit www.cgi.com/startmycareer

Responsibilities

• Assist in developing, implementing, and maintaining machine learning models
• Support data pipeline development and optimization
• Help with feature engineering and model evaluation
• Contribute to ML experiment tracking and model versioning
• Assist in deploying AI models to production environments
• Participate in code reviews and technical discussions
• Document processes, techniques, and learnings
• Collaborate with cross-functional teams to understand requirements and deliver solutions

Qualifications

• Programming Languages
• Proficiency in Python
• Experience with SQL
• Familiarity with Java or Scala (nice to have)
• Machine Learning / AI
• Understanding of machine learning fundamentals
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of deep learning concepts
• Familiarity with computer vision or NLP techniques
• Familiarity with Generative AI and Agentic
• Data Engineering
• Experience with data processing and ETL pipelines
• Familiarity with big data technologies
• Understanding of data modeling concepts
• Knowledge of data versioning and management
• MLOps & Tools
• Git version control
• Experience with Jupyter notebooks and data visualization
• Familiarity with containerization (Docker)
• Understanding of CI/CD principles
• Knowledge of ML experiment tracking tools (MLflow) (nice to have)
• Cloud Platforms
• Familiarity with cloud services (AWS, Azure, or GCP)
• Experience with cloud-based ML services (nice to have)
• Databases
• Experience with relational databases
• Familiarity with NoSQL databases (nice to have)
• Qualifications
• Strong programming skills with focus on Python
• Good understanding of machine learning concepts
• Ability to work independently and as part of a team
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills
• Passionate about AI and continuous learning

What We Offer

• Hands-on experience with real-world AI and data engineering projects
• Mentorship from experienced data scientists and ML engineers
• Collaborative and inclusive work environment
• Opportunity to work with state-of-the-art AI technologies
• Professional development and networking opportunities

Bilingualism (French and English) is required for this position due to the nature of the role, which involves interactions with both national and international clients.

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