AI Scientist II (Healthcare)
Tasks
- Analyze model performance with interpretability and bias analysis
- Build production-grade AI pipelines
- Design data driven algorithms for healthcare business problems
- Develop AI pipelines for offline testing and online serving
- Generate features using SQL
- Identify and mitigate AI and ML risks including data leakage
- Perform model evaluation and metrics optimization
- Process structured and unstructured data
- Research and develop Generative AI models
- Train and test machine learning models
Perks/Benefits
- 401k match
- Commute and parking benefits
- Employee Assistance Fund
- Health Savings Account contribution
- Hybrid work
- Medical, dental, and vision coverage
- Paid parental leave
- Paid time off
- Wellness programs
Skills/Tech-stack
Algorithm Design | Data Analysis | Data Visualization | Deep learning | Feature Engineering | Feature importance | Fine Tuning | Generative AI | Grid Search | Hyperparameter Tuning | Language Models | Large Language Models | Machine Learning | Model Evaluation | Optimization | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Transformer | XGBoost
Education
Roles
AI | AI Scientist | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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