Machine Learning Engineer — Multilingual Data
Tasks
- Analyze dataset bias and failure modes
- Build multilingual data pipelines
- Define language coverage benchmarks and evaluation metrics
- Design multilingual dataset curation and labeling
- Implement data quality filters
- Iterate datasets based on model performance
- Support training fine tuning and distillation with data
Perks/Benefits
Skills/Tech-stack
Apache Spark | Bias analysis | Data Deduplication | Data Pipelines | Data cleaning | Data labeling | Embeddings | Heuristic Methods | Language Modeling | Language Processing | Model-based methods | Natural Language | Natural Language Processing | Python | Ray | Statistical Methods | Tokenization | Unicode
Education
N/A
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