算法工程师-大模型数据方向
Tasks
- Apply heuristic scoring and clustering to build golden dataset
- Build annotation tools to improve labeling throughput
- Build data quality evaluation metrics
- Build end to end data system for large language model
- Create corpus quality standards by source
- Design knowledge graph mapping and tagging framework
- Develop AI assisted data labeling workflow
- Develop data cleaning scripts for large scale corpora
- Guide dataset optimization using model feedback
- Implement data governance framework
- Mine and integrate general and domain corpora
- Process noise deduplicate and redact data
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Clustering | Data Augmentation | Data Deduplication | Data Governance | Data cleaning | Data labeling | Data redaction | Heuristic Scoring | Knowledge graph | Language Processing | Multiprocessing | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Regular Expressions | TensorFlow | Transformer
Education
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