Graduate Fellow – Data Engineering, Generative AI, AWS, Python
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📋 Description
• Discovery Phase (Months 1–2): Research, test, and propose at least 10 candidate metrics to measure CORA's performance. • Validation Phase (Months 3–7): Run experiments to validate which metrics effectively capture the quality of our agent's analyses, selecting the top 3. • Construction Phase (Months 7–12): Build a real-time monitoring dashboard that enables the team to continuously track model performance and respond quickly when needed.
🎯 Requirements
• Education: Completed bachelor's degree. • Fields of study: Engineering; Computer Science / Information Systems; Data Engineering / Data Science; Statistics / Applied Mathematics; related areas in Information Technology and Artificial Intelligence. • Knowledge of evaluation metrics for AI/ML models, with a focus on generative models. • Experience with statistical analysis and hypothesis validation. • Skill in building dashboards and monitoring panels. • Proficiency in Python and AWS QuickSight. • AWS certifications (Cloud Practitioner). • Participation in generative AI projects and publications in data science.
🏖️ Benefits
• Availability: 40 hours per week • Duration: 12 months • Stipend: R$ 7.000,00 • Work arrangement: Remote
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