Lead Data Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Clean and preprocess data
- Create visualizations and reports
- Deploy models to production
- Develop and tune machine learning models
- Engineer features
- Extract data from structured and unstructured sources
- Fine-tune pre-trained models
- Implement generative AI models
- Monitor model performance in production
- Perform exploratory data analysis
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Dental insurance
- Disability benefits
- Employee assistance program
- Employee discounts
- Employee wellness programs
- Life insurance
- Medical insurance
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Adversarial Networks | Apache Spark | Computer Vision | Databricks | Deep learning | Generative Adversarial Networks | Keras | Language Processing | MLflow | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Python | R | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Studio Code | TensorFlow | Transformers | Variational Autoencoders | Visual Studio | Visual Studio Code
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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