Generative AI Scientist - (Model Risk & Validation)
Tasks
- Assess data drift
- Assess model drift
- Benchmark models
- Communicate technical concepts
- Conduct model validation
- Deploy machine learning models
- Develop generative AI evaluations
- Develop model metrics
- Manage model metadata
- Manage model registration
- Monitor model performance
- Rebuild models with updated data
Perks/Benefits
Skills/Tech-stack
AI Platform | AWS | Amazon SageMaker | Apache Spark | Azure | Azure ML | Cloud AI Platform | Cloud platform | Data Governance | Deep learning | Fine Tuning | GPU Computing | Google Cloud | Google Cloud AI | Google Cloud AI Platform | Google Cloud Platform | Huggingface | Keras | LIME | Langchain | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Governance | Model Monitoring | NIST RMF | NLTK | Natural Language | Natural Language Processing | OpenAI | Pandas | PyTorch | Python | SHAP | Scikit-learn | TensorFlow | Transformers | Vector Databases | XAI
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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