Instructor Applied Artificial Intelligence Program

Full job description

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

Language:

• French (Required)

Work Location: Remote