算法工程师-大模型数据方向
Tasks
- Build data quality evaluation metrics
- Build large language model data pipeline
- Construct high quality dataset using clustering and model scoring
- Create data production evaluation iteration feedback loop
- Design knowledge taxonomy and mapping
- Develop AI assisted annotation workflow
- Develop annotation tools to improve throughput
- Develop data governance framework
- Implement data deduplication and desensitization
- Perform large scale corpus cleaning
Perks/Benefits
- N/A
Skills/Tech-stack
Clustering | Data Annotation | Data Deduplication | Data Governance | Data Quality | Data Quality Evaluation | Data cleaning | Data desensitization | Knowledge graph | Language Models | Language Processing | Large Language Models | Multiprocessing | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Quality evaluation | Regular Expressions | Spark | TensorFlow | Transformer
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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