
AI Leadership Expert
2 days ago
We are seeking a seasoned expert in Generative AI to lead our executive education programme. This is an opportunity to drive high-impact discussions and shape the future of AI in business.
The programme will run for 16 weeks, with 17 live sessions delivered online. Each session will be 120 minutes long and scheduled on Saturday mornings.
Key Responsibilities:
- Conduct live sessions on advanced topics such as Transformer architectures, diffusion models, VAEs, GANs, multimodal models, LangChain, RAG, RLHF, and Multi-Agent systems.
- Mentor participants on their capstone projects, providing implementation-focused feedback and industry perspective.
- Support a cohort of global, technically skilled professionals in applying Generative AI concepts to real-world use cases.
- Collaborate with internal teams to ensure quality delivery aligned with NUS standards.
Requirements:
- 10+ years of professional experience in AI, Machine Learning, or Data Science, with at least 3–5 years working directly on Generative AI systems.
- Deep practical expertise in building, fine-tuning, or deploying models like BERT, GPT, diffusion models, or text-to-image systems.
- Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
- Prior experience in technical training, executive education, or mentoring engineering teams is essential.
- A postgraduate degree (MS, PhD, or equivalent) in Computer Science, AI, or a related technical field is highly desirable.
Benefits:
- Be part of a prestigious AI-focused executive education initiative led by a top-tier EdTech platform in collaboration with globally recognized institutions.
- Engage with a network of senior professionals, industry leaders, and AI experts.
- Enjoy the flexibility of mentoring from anywhere in the world while making a meaningful impact on the future of AI in business.
- Opportunity to shape the next generation of Technology Managers and Leaders in AI-driven strategic roles.
Other Information:
- Course Duration: 16 weeks.
- Session Format: 17 live sessions (each 90 minutes), delivered online.
- Session Schedule: Saturday mornings.
- Mode: Online (via Zoom + LMS interactions).
- Capstone: Involvement in grading and mentorship.
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