Data Scientist - DLP
Tasks
- Build data science research workflows
- Classify tabular data
- Cluster and analyze documents
- Deploy machine learning models
- Develop NLP solutions
- Develop machine learning models
- Evaluate model performance
- Extract text from documents
- Monitor model performance
- Perform feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | Bagging | Big Data | Big data analytics | Boosting | Clustering | Data Classification | Data Pipelines | Data analytics | Decision Trees | Direct Preference Optimization | Document analysis | Efficient Fine Tuning | Error Analysis | Evaluation metrics | Feature Engineering | Few-Shot Learning | Few-shot | Fine Tuning | Function Calling | Gradient Based Training | Gradient descent | Human Feedback | Instruction Tuning | Language Processing | Learning from Human Feedback | LoRA | Loss Functions | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | Optimization | PR AUC | Parameter efficient fine-tuning | Preference optimization | Prompt Tuning | Prompt engineering | Python | ROC-AUC | Regularization | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Routing | SVM | Supervised Fine Tuning | Tabular Data | Tabular Data Classification | Text extraction | Tool/function calling
Education
Roles
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