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3 days ago
This is a part-time role ideal for senior professionals passionate about shaping the next generation of AI talent by bridging advanced theory with practical implementation.
Key Responsibilities:- Conduct 17 live sessions over a 16-week period, scheduled Saturday mornings, in an online format.
- Deliver advanced topics such as Transformer architectures, Diffusion models, VAEs, GANs, Multimodal models, 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 internal teams to ensure quality delivery aligned with standards.
- 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 desirable.
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