Generative AI Research Scientist
Tasks
- Assess model risk interpretability and regulatory fit
- Define quality and safety standards
- Design benchmarks and evaluation metrics
- Evaluate accuracy safety bias and robustness
- Fine tune models and select training data
- Identify generative AI opportunities
- Prototype generative ai solutions with stakeholders
- Publish research and contribute to intellectual property
- Select models and define experiments
- Translate business problems into machine learning tasks
Perks/Benefits
Skills/Tech-stack
Accuracy Metrics | Agentic patterns | Benchmarking | Bias Evaluation | Data Governance | Experimental Design | Fine Tuning | Machine Learning | Model Evaluation | Model Fine-tuning | Model Interpretability | Model Risk Management | Model risk | Multimodal Learning | Prompt engineering | Retrieval-Augmented Generation | Risk Management | Robustness Testing | Safety metrics | Statistics
Education
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