3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
2+ years’ experience researching and applying large language and generative AI models
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
Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding
3+ years of experience of technical architecture, design, deployment and operational level knowledge