Education:

Currently pursuing a bachelor’s or masters' degree in Computer Science and Technology, Artificial Intelligence, Data Science and Big Data Technology, or other related major.

Knowledge, skills and others:

1. Basic understanding of core concepts in machine learning (e.g., model training, data preprocessing) or large language models (LLMs) — academic coursework or project experience in these areas is a plus.

2. Familiarity with at least one programming language commonly used in AI/ML (e.g., Python) and basic knowledge of data processing tools (e.g., Pandas, NumPy) is preferred.

3. Familiarity with data preprocessing concepts and basic machine learning principles.

4. Basic ability to understand technical documentation of AI models and deployment

5. Good problem-solving and logical thinking skills