Roles & Responsibilities
1. Responsible for large models Related knowledge graph and data engineering work, including but not limited to the construction and application of knowledge graph, data collection, generation and in-depth mining and comprehensive feature engineering analysis
2. Study the relationship between data quality and model effect, and build efficient And a comprehensive knowledge graph system helps optimize and improve large models
3. Continue to pay attention to industry trends and the latest technologies, and keep updated with professional knowledge and skills in related fields.
Qualifications
1. Master degree or above in computer science, information retrieval, natural language processing, machine learning or related fields
2. Have more than 1 year of knowledge graph and NLP data Engineering work experience
3. Proficient in Python or other programming languages, and have good coding skills and code quality awareness
4. Have good communication and collaboration skills be goal-oriented and have strong Problem solving skills.