Applied Data Scientist
Tasks
- Apply NLP techniques for embeddings NER and text classification
- Build ML models for classification extraction and predictive scoring
- Build evaluation frameworks for AI generated outputs
- Design experiments and benchmarks to measure accuracy and reduce bias
- Monitor models for drift and performance degradation
- Move models from experimentation to production
Perks/Benefits
- N/A
Skills/Tech-stack
Embeddings | Entity recognition | Language Processing | Machine Learning | Model Monitoring | Named Entity Recognition | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | SQL | Scikit-learn | Semantic similarity | TensorFlow | Text Classification
Education
Regions
Countries
States
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