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:
Work Location: Remote
