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• Research, test, and propose at least 10 candidate metrics to measure CORA's performance. • Conduct experiments to validate which metrics truly capture the quality of the agent's analyses, selecting the top 3. • Build a real-time monitoring dashboard that enables the team to continuously track model performance and respond quickly when needed.
• Education: Bachelor's degree completed. • Fields of study: Engineering; Computer Science / Information Systems; Data Engineering / Data Science; Statistics / Applied Mathematics; or related areas in Information Technology and Artificial Intelligence. • Knowledge of evaluation metrics for AI/ML models, with emphasis on generative models. • Experience with statistical analysis and hypothesis testing/validation. • Ability to build dashboards and monitoring tools. • Proficiency in Python and AWS QuickSight. • AWS certifications (e.g., Cloud Practitioner). • Experience participating in generative AI projects and publications in data science.
• Remote work
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