Sr Generative AI Scientist II - (Model Risk & Validation)
Tasks
- Assess data drift
- Assess model drift
- Benchmark model performance
- Build tools for model monitoring
- Deploy machine learning systems
- Develop and evaluate GenAI models
- Improve model monitoring
- Manage model metadata
- Manage model registration
- Perform independent model validation
- Rebuild models with updated data
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AI RMF | AWS SageMaker | Amazon AWS | Apache Spark | Azure | Bias detection | Cloud platform | Data Drift | Data Drift Detection | DataRobot | Deep learning | Distributed data | Drift Detection | Explainable AI | Fairness metrics | Fine Tuning | GPU Computing | Generative AI | Google Cloud | Google Cloud Platform | Huggingface | Keras | LIME | LLM Evaluation | Langchain | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Governance | Model Monitoring | NIST AI | NIST AI RMF | NLTK | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Responsible AI | SHAP | Scikit-learn | TensorFlow | Transformers | Vector Databases
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