Data Scientist
Tasks
- Analyze model architectures data and inference workflows
- Assess third party open source models for safety and robustness
- Conduct research experimentation and prototyping of Responsible AI methods
- Design structured testing methods
- Develop benchmark datasets and evaluation scripts
- Evaluate training data model configurations and deployment patterns
- Execute model risk evaluations including hallucination and fairness
- Implement real time guardrails and measurement practices
- Prepare model cards evaluation summaries and transparency documentation
- Provide analytical input to governance reviews and audits
- Support Responsible AI evaluation workflows
Perks/Benefits
- Flexible work environment
- Inclusive environment
- Internal mobility
- Volunteering opportunities
- Wellbeing
- Work-life balance
Skills/Tech-stack
Benchmarking | Experimental Design | Explainability | Fairness | GenAI | Hallucination detection | LIME | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | Robustness | SHAP | Statistical Analysis
Education
Roles
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