Sr Generative AI Scientist II - (Model Risk & Validation)
Tasks
- Assess data drift
- Assess model drift
- Benchmark models
- Build and evaluate GenAI models
- Conduct model validation
- Deploy production machine learning on cloud
- Develop model monitoring improvements
- Evaluate models for bias and fairness
- Explain model decisions
- Implement model registration
- Manage model metadata
- Monitor and evaluate LLM performance
- Rebuild models with updated data
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AI RMF | AI Risk | AI risk management | AWS | AWS Model Monitor | AWS SageMaker | Apache Spark | Arize | Azure | Azure ML | Cloud platform | Data Governance | DataRobot | Databricks | Explainable AI | FiddlerAI | Fine Tuning | GPU | GenAI | Google Cloud | Google Cloud Platform | Huggingface | Keras | LIME | Langchain | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Governance | Model Monitor | Model Monitoring | NIST AI | NIST AI RMF | NLTK | NannyML | Natural Language | Natural Language Processing | OpenAI | Pandas | PyTorch | Python | Responsible AI | Risk Management | SHAP | Scikit-learn | TensorFlow | Transformers | Vector Databases
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