The AI & Machine Learning Instructor will be responsible for training students to develop real world AI Solutions, from foundational programming and machine learning concepts to modern generative AI, Agentic AI, Automation, and Development.
Key Responsibilities
Deliver practical and engaging training sessions in AI & Machine Learning.
Teach students python programming, including its application to AI and Machine Learning.
Train students on robotics programming, embedded systems, and automation tools.
Guide students through hands-on projects, prototypes, and innovation challenges.
Develop course materials, assignments, and practical learning activities.
Teach SQL, Data handling, Analysis, and visualization using tools like NumPy and Pandas.
Deliver lessons on statistics, and mathematical concepts of AI & ML
Teach fundamentals and advanced concepts in Machine learning, including model development, evaluation, and optimisation.
Teach Deep learning frame works, and architectures, particularly TensorFlow and Keras.
Introduce students to Generative AI, Prompt Engineering, and Large Language Models (LLMs)
Design practical projects, assignamnets, assessments, and projects that reflect real world industry application.
Support students during hackathons, exhibitions, and project demonstrations
Stay updated with emerging technologies and industry trends
Evaluate students' progress and provide mentorship where necessary
Required Skills & Technical Knowledge
Candidates should possess strong knowledge in some or most of the following areas:
Artificial Intelligence (AI).
Machine Learning Algorithms, concepts and workflows.
Python Programming.
Deep Learning and frameworks.
NumPy, Pandas, and Daat Analysis/Visualization Tools.
SQL and Databases.
Mathematics and Statistics for Machine Learning and Artificial Intelligence.
AI application deployment and real world intergration.
Good experience with Generative AI, Prompt Engineering, LLMs, and AI APIs.
Knowledge of AI Chatbox development and AI powered automation