As a Lecturer in Artificial Intelligence (AI), you will shape the next generation of AI professionals. This role contributes to a field transforming industries. You will impart knowledge in AI, machine learning (ML), and deep learning (DL), covering how machines simulate human intelligence in learning, comprehension, creativity, and problem-solving. Professionals fitting various AI job descriptions are in high demand across sectors including IT, education, finance, and healthcare.

Your core responsibilities will involve designing, developing, and delivering curriculum, as well as supervising practical projects. You will teach AI, ML, DL, and generative AI. This includes:
•    Teaching AI models to learn from data for applications like chatbots, self-driving cars, and voice recognition.
•    Guiding students in building data science infrastructure, data preprocessing, and cleansing.
•    Planning for deployment into production environments.
•    Supervising projects involving speech recognition, data mining, and advanced robotics.
•    Collaborating with experts and communicating AI utility to diverse audiences.

 

We seek a skilled, innovative professional passionate about AI/ML, dedicated to fostering student career growth and establishing strong industry connections.

•    Education: A Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A Master’s or Ph.D. in Artificial Intelligence, Machine Learning, or Data Science is highly preferred.
•    Experience: At least 2+ years relevant experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar AI development role is crucial.
•    Certifications: Relevant AI/ML certifications (e.g., Microsoft Certified: Azure AI Fundamentals, AWS Certified Machine Learning, Google AI Certification) are beneficial.

Key Skills:
•    Technical Proficiency: Strong grasp of programming languages such as Python, Flutter, and C++; good knowledge of linear algebra, calculus, statistics, and probability. Extensive experience with ML frameworks like PyTorch, TensorFlow, and Keras, and various ML/deep learning algorithms. Proficiency in cloud platforms for AI deployment (AWS, Azure, Google Cloud), and strong understanding of data modeling, mining, and processing.
•    Soft Skills: Excellent problem-solving and analytical skills; strong communication and collaboration abilities to work effectively in teams; adaptability to new AI developments; and understanding of AI ethics, data privacy, and bias.
•    Genuine passion to share knowledge, mentor and interact with youths and adult learners, with strong pastoral and interpersonal skills.