Minimum Qualifications (Required)

• Proficiency in Python programming
• Basic understanding of machine learning concepts (via self-study, online courses, or projects)
• Familiarity with Large Language Models (LLMs) such as GPT, LLaMA, or Vicuna
• Experience using Jupyter notebooks and pandas, or basic SQL
• Ability to work with APIs or write scripts to automate tasks
• Comfortable handling structured and semi-structured data (e.g., CSV, JSON, tables)
• Strong problem-solving abilities and clear communication skills
• Ability to work independently and take initiative in exploring solutions
• Willingness to learn and apply prompt engineering techniques in real-world applications
  
  

Preferred Qualifications (Nice to Have)

• Experience with FastAPI, Flask, or understanding of REST API concepts
• Familiarity with tools such as Docker, Hugging Face Transformers, or LangChain
• Understanding of, or interest in, retrieval-augmented generation (RAG) systems
• Interest in business workflows, dashboards, or reporting tools (e.g., Streamlit, Power BI)
• Basic finance knowledge (e.g., financial terms, accounting principles, interpreting financial data)