算法工程师-大模型数据方向
Tasks
- Build end to end data governance framework
- Build gold dataset using heuristics model scoring and clustering
- Construct data quality evaluation metrics
- Create data production evaluation iteration feedback loop
- Design knowledge taxonomy for large model data assets
- Develop AI assisted labeling pipeline
- Develop cleaning scripts with rules and quality standards
- Handle noise deduplication and data anonymization
- Implement data cleaning for large corpora
- Map knowledge graph to labels
- Optimize labeling workflow and throughput
Perks/Benefits
Skills/Tech-stack
Automated Evaluation | Clustering | Corpus Synthesis | Data Augmentation | Data Deduplication | Data Governance | Data anonymization | Data cleaning | Data labeling | Dataset evaluation | Heuristic rules | Knowledge graph | Language Processing | Multiprocessing | Natural Language | Natural Language Processing | Pandas | PySpark | PyTorch | Python | Regular Expressions | Spark | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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