Responsible AI Data Scientist
Tasks
- Advise on risk informed model selection and guardrails
- Align testing with AI regulations
- Assess model robustness
- Collaborate with legal privacy risk and engineering teams
- Develop evaluation frameworks for AI systems
- Embed responsible AI controls across development lifecycle
- Evaluate privacy preservation methods
- Implement bias detection testing
- Implement logging and observability
- Monitor emerging AI regulations and standards
- Pressure test AI systems for accuracy and reliability
- Produce model cards
- Support audit trails
- Translate AI governance requirements into testable playbooks
Perks/Benefits
Skills/Tech-stack
Algorithmic Fairness | Audit trails | Bias detection | Data Lineage | Data Visualization | Explainability | Language Processing | Learning frameworks | Logging | Machine Learning | Machine Learning Frameworks | Model Cards | Model Evaluation | Model Robustness | NLP | Natural Language | Natural Language Processing | Observability | Privacy Preservation | Python | R | Risk Mitigation | Statistics | Test automation | Transparency
Education
Regions
Countries
States
Cities
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