Head of AI Quality, Assurance and Evaluation
Tasks
- Collaborate with engineering data science product legal quality compliance stakeholders
- Conduct AI risk bias transparency privacy compliance assessments
- Define evaluation suites benchmark sets regression gates and production observability
- Develop AI policies standards documentation and training programs
- Develop and operationalize responsible AI risk governance
- Establish audit ready evaluation monitoring and observability standards
- Support governance reviews and continuous improvement
- Translate legal quality security privacy regulatory requirements into testable controls
Perks/Benefits
- N/A
Skills/Tech-stack
Auditability | Benchmarking | Compliance | Data Lineage | Electronic Records | Electronic Records and Electronic Signatures | Electronic Signatures | Evaluation Frameworks | Governance | GxP | Language Models | Large Language Models | Machine Learning | Model Monitoring | Observability | Privacy | Regression testing | Risk Management | Validation
Education
N/A
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