
AI Systems Architect
6 days ago
The ideal candidate will teach a high-quality education program focused on advanced Generative AI concepts.
This instructor-led training delivers live sessions, guiding participants through real-world use cases and applications of Generative AI systems.
Key Responsibilities:
- Conduct 17 live sessions (2 hours each) over a 16-week period, scheduled Saturday mornings in an online format.
- Deliver 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 insights.
- Support a cohort of global professionals in applying Generative AI concepts to real-world challenges.
- Collaborate with internal teams to ensure quality delivery aligned with industry standards.
Required Qualifications & Experience:
- 10+ years of 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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