Data Scientist ML (GenAI)
Tasks
- Align solutions with responsible AI principles
- Contribute to AI governance framework
- Define agent evaluation metrics
- Design and evaluate machine learning models
- Design validation and control mechanisms
- Develop experimentation and evaluation pipelines
- Implement explainability techniques
- Implement monitoring and explainability frameworks
- Integrate LLM-based solutions
- Integrate generative AI models into governance architecture
Perks/Benefits
- N/A
Skills/Tech-stack
AI Risk | AI Risk Assessment | Azure Machine Learning | Azure OpenAI | Bias detection | Explainability | Fine Tuning | Generative AI | LIME | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Validation | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Risk Assessment | SHAP | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
N/A
Roles
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