Generative AI

Programme Leader in Generative AI with Emeritus (Freelance)

About Emeritus/Eruditus:

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 80 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.

Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 300,000 individuals across 80+ countries.

Founded in 2015, Emeritus, part of Eruditus Group, has more than 1,800 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. The company is backed by prominent investors including Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.

Emeritus is hiring a Programme Leader in Generative AI with National University of Singapore, School of Computing.

Position Overview:

We are seeking an accomplished senior technologist with deep, hands-on expertise in Generative AI to serve as a Programme Leader for the prestigious executive education program, Generative AI: Fundamentals to Advanced Techniques , offered by the NUS School of Computing , in collaboration with Emeritus .

This is a part-time, academic + Industry driven role is ideal for senior professionals passionate about shaping the next generation of AI talent by bridging advanced theory with practical implementation . You will deliver live, tool-based sessions and guide mid-career technologists through one of the most advanced Generative AI programs in the region.

Key Responsibilities:

• Conduct 17 live sessions (120 minutes each) over a 16-week period, scheduled Saturday mornings , in an online format.
• Deliver advanced topics such as:

Transformer architectures (BERT, GPT)

Diffusion models, VAEs, GANs

Multimodal models (DALL-E, CLIP, Stable Diffusion)

LangChain, RAG, RLHF, and Multi-Agent systems

• Mentor participants on their capstone project , 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 the internal teams to ensure quality delivery aligned with NUS standards.

Required Qualifications & Experience:

• 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 a MUST.
• A postgraduate degree (MS, PhD, or equivalent) in Computer Science, AI, or a related technical field is desirable.

Who Should Apply? This role is ideal for professionals who:

• Have advanced, hands-on experience in Generative AI and want to share that expertise with serious, career-focused learners.
• Enjoy teaching and mentoring experienced professionals in a structured, global executive education setting.
• Seek a flexible, part-time opportunity to contribute to the upskilling of AI professionals globally.
• Can commit to weekly live delivery (Saturday mornings) over a 4-month period.

Common Misconceptions About This Role: