算法工程师-大模型数据方向
Tasks
- Build data quality evaluation metrics
- Build full lifecycle data pipeline
- Clean large scale corpora
- Close feedback loop for data iteration
- Create gold corpus using scoring and clustering
- Design knowledge taxonomy
- Develop AI assisted annotation pipeline
- Develop data governance framework
- Implement data deduplication and desensitization
- Map knowledge graph
- Optimize annotation workflow to improve throughput
- Write data cleaning scripts
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Clustering | Data Annotation | Data Deduplication | Data Governance | Data cleaning | Data desensitization | Heuristic rules | Knowledge graph | Language Processing | Machine Learning | Multiprocessing | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Regular Expressions | TensorFlow | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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