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1. 2+ years of data scientist experience 2. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience 3. Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 4. 2+ years experience researching and applying large language and generative AI models 5. Hands-on experience in developing models, in optimizing model training and tuning and in deploying LLMs such as GPT, LLaMA, Falcon, BERT, or Transformer-based architectures 6. Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding 7. 3+ years of experience of technical architecture, design, deployment and operational level knowledge