- Build and maintain evaluation pipelines for AI workflows across screening, interviews, and assessments.
- Define metrics, benchmarks, and acceptance criteria to track quality, trends, and regressions.
- Improve AI performance through prompt strategies, model selection, fine-tuning, and data preprocessing.
- Build monitoring, dashboards, and alerting systems to detect failure modes and ensure stability.
- Integrate AI and prompt testing into CI/CD pipelines to prevent regressions.
- Conduct AI system audits and provide documentation for compliance standards like SOC 2.
- Productionize AI workflows to ensure robustness and maintainability.
Machine LearningGoRegression testing+2 more