Applied Data Scientist
Tasks
- Build evaluation pipelines
- Build feature engineering pipelines
- Develop document classification models
- Develop ledger prediction models
- Fine-tune large language models
- Implement embedding and retrieval strategy
- Manage MLflow model registry
- Perform model evaluation and selection
- Run drift detection
- Train and evaluate machine learning models
- Translate accounting domain knowledge into modeling decisions
Perks/Benefits
Skills/Tech-stack
Databricks | Huggingface | MLflow | Pandas | PyTorch | Python | Scikit-learn | Snowflake | Transformer | XGBoost
Education
N/A
Roles
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