AI Data Engineer
Core
End-to-end data processes for AI projects, including data collection, cleaning, labeling, augmentation, and dataset construction for large model training and LLM performance improvement.
Role type
AI Data Engineer
Builds
High-quality datasets for large model training (SFT, RM data) and knowledge graphs
Domain
Semiconductor industry, AI/ML data infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Pandas, Spark, data labeling tool development, data augmentation techniques, LLM data construction methods
Preferred skills
Machine learning data format knowledge, algorithm and business requirement understanding
Technologies
Python, SQL, Pandas, Spark
Responsibilities
Implement, manage, and maintain data applications and security for AI; develop and optimize data labeling tools; collaborate with AI teams to improve LLM performance through data solutions
Seniority
Individual Contributor