Singapore

School of Infocomm - Lecturer (Artificial Intelligence/Machi …, Singapore

School of Infocomm - Lecturer (Artificial Intelligence/Machi …, Singapore
Description

The school is looking for dynamic individuals who are motivated and able to work effectively in a team environment.

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. 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.

Responsibilities
  • Design, develop, and deliver curriculum in AI, ML, DL, and generative AI.
  • Teach AI models to learn from data for applications such as chatbots, self‑driving cars, and voice recognition.
  • Guide students in building data science infrastructure, data preprocessing, and cleansing.
  • Plan for deployment into production environments.
  • Supervise projects involving speech recognition, data mining, and advanced robotics.
  • Collaborate with experts and communicate AI utility to diverse audiences.
Qualifications
  • Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Master’s or Ph.D. in Artificial Intelligence, Machine Learning, or Data Science highly preferred.
  • Experience: At least 1 year relevant experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar AI development role.
  • Certifications: Relevant AI/ML certifications beneficial (e.g., Microsoft Certified: Azure AI Fundamentals, AWS Certified Machine Learning, Google AI Certification).
Key Skills
  • Technical Proficiency:
    • Programming languages: Python, Flutter, C++.
    • Strong knowledge of linear algebra, calculus, statistics, and probability.
    • Extensive experience with ML frameworks such as PyTorch, TensorFlow, and Keras, and various deep learning algorithms.
    • Proficiency in cloud platforms for AI deployment: AWS, Azure, Google Cloud.
    • 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.
    • Understanding of AI ethics, data privacy, and bias.
  • Passion: Genuine passion to share knowledge, mentor, and interact with youths and adult learners, with strong pastoral and interpersonal skills.
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