- Strong fundamentals of Artificial Intelligence & Machine Learning
- Good understanding of LLMs (Large Language Models)
- Knowledge of Generative AI
- Understanding of Prompt Engineering
- Familiarity with RAG, embeddings and vector databases
- Understanding of NLP and Transformer architecture
- Exposure to LLMs such as GPT, Gemini, Claude, Llama, etc.
- Ability to experiment with and evaluate AI/LLM models
- Strong analytical and problem-solving skills
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