Data Scientist
Tasks
- Analyze model architectures and inference workflows
- Apply machine learning and experimental design
- Collaborate with QA on validation workflows
- Develop benchmark datasets and evaluation scripts
- Execute hallucination fairness and robustness evaluations
- Integrate evaluation workflows and guardrails
- Prepare model cards and transparency documentation
- Prototype emerging responsible AI methods
- Provide analytical input for governance reviews and audits
- Support responsible AI evaluations
Perks/Benefits
- Flexible work environment
- Inclusive workplace
- Internal mobility
- Volunteering opportunities
- Well-being
- Work-life balance
Skills/Tech-stack
Cloud Computing | Experimental Design | Explainability | Fairness | GenAI | Hallucination detection | LIME | Language Models | Large Language Models | Machine Learning | Python | Robustness | SHAP | Statistical Analysis
Education
Roles
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