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The Applied Artificial Intelligence Instructor will deliver technical instruction for the AEC LEA.E7 – Intelligence artificielle appliquée program.

The ideal candidate combines strong practical experience in artificial intelligence, machine learning, data science, software development and/or MLOps with the ability to explain complex concepts in a clear and accessible manner.

The instructor may be assigned one or multiple courses according to their technical specialization.

Key Responsibilities

• Deliver engaging AI and technology instruction in French.
• Communicate effectively in English with administration and when using technical documentation and resources.
• Develop lesson plans, presentations, demonstrations, practical labs and assessments.
• Teach both theoretical concepts and practical AI implementation.
• Guide students through AI, machine learning and data projects.
• Demonstrate real-world AI applications and industry use cases.
• Teach students how to develop, test and deploy AI solutions.
• Evaluate assignments, projects, examinations and practical exercises.
• Provide constructive feedback and academic guidance.
• Keep course content aligned with current AI industry developments.
• Incorporate current tools, frameworks and methodologies into instruction.
• Support students in developing employment-ready AI and data skills.
• Participate in curriculum development and faculty meetings.
• Maintain student records and submit grades/evaluations as required.
• Deliver instruction effectively in an online environment.

Potential Courses / Subject Areas

Depending on specialization, the instructor may teach:

• Fundamentals of Artificial Intelligence
• Introduction to Programming
• Python programming
• Data preparation and analysis
• Data cleaning and preprocessing
• Exploratory data analysis
• Data visualization
• Supervised machine learning
• Regression and classification
• Unsupervised machine learning
• Clustering
• Dimensionality reduction
• Anomaly detection
• Deep learning
• Neural networks
• Natural language processing
• Computer vision
• Reinforcement learning
• AI agents and intelligent workflows
• Industrial applications of AI
• AI automation
• AI solution development
• Model deployment
• MLOps
• Cloud-based AI deployment
• Model monitoring and production environments

Required Qualifications

• Bachelor's degree or equivalent in:
• Computer Science
• Artificial Intelligence
• Data Science
• Machine Learning
• Software Engineering
• Computer Engineering
• Mathematics/Statistics
• or a related technical discipline.
• Master's degree preferred for advanced AI, machine learning, deep learning and reinforcement learning subjects.
• Minimum 3 years of relevant professional industry experience.
• 4–5+ years preferred for advanced ML, Deep Learning and MLOps instruction.
• Demonstrated hands-on experience developing or deploying AI/ML solutions.
• Strong understanding of modern AI and machine learning methodologies.
• Fluent French and English – mandatory.
• Excellent communication and presentation skills.
• Ability to explain complex technical concepts to beginner and intermediate students.
• Ability to teach effectively in an online environment.

Technical Expertise

Depending on the position/course assignment, candidates should have experience with relevant technologies such as:

Programming

• Python
• SQL
• Git/GitHub
• APIs
• Software development fundamentals

Data

• Pandas
• NumPy
• Data preprocessing
• Data analysis
• Data visualization
• Power BI / Tableau

Machine Learning

• Scikit-learn
• Regression
• Classification
• Clustering
• Model evaluation
• Feature engineering

Deep Learning

• PyTorch
• TensorFlow
• Neural networks
• NLP
• Computer vision

AI

• Generative AI
• LLMs
• AI agents
• Intelligent automation
• AI applications

MLOps / Cloud

• MLflow
• Docker
• Kubernetes
• CI/CD
• AWS / Azure / Google Cloud
• Model deployment and monitoring

Preferred Certifications

Relevant certifications are an asset, including:

• AWS Machine Learning / AI certifications
• Microsoft Azure AI certifications
• Google Cloud AI/ML certifications
• Databricks certifications
• NVIDIA AI certifications
• TensorFlow certifications
• Other recognized AI, data science or cloud certifications

Application Question(s):

• How many years of experience you have for advanced ML, Deep Learning and MLOps instruction?
• Do you have hands-on experience developing or deploying AI/ML solutions?

Language:

• French (Required)

Work Location: Remote