Data Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Classify tabular data
- Deploy machine learning models
- Design data strategy
- Develop machine learning models
- Evaluate model performance
- Extract text and analyze documents
- Frame research problems
- Monitor models in production
- Perform clustering and document analysis
- Perform feature engineering
- Refine models using outcome analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Clustering | Data Pipelines | Evaluation metrics | Few-Shot Learning | Few-shot | Fine Tuning | Gradient descent | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Precision-recall | Prompt Tuning | Prompt engineering | Python | RLHF | ROC-AUC | Regularization | Retrieval-Augmented Generation | Supervised Fine Tuning | Text extraction
Education
Roles
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