Graduate Fellow – Data Engineering, Generative AI, AWS, Python

Job not on LinkedIn

🕒 June 26

🇧🇷 Brazil – Remote

💵 R$7k / month

⏰ Full Time

⚪️ Entry-level

🚰 Data Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Instituto Euvaldo Lodi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1969

🤝 B2B

📚 Education

💼 Consulting

B2B • Education • Consulting

IEL - Instituto Euvaldo Lodi is a Brazilian institute linked to the Sistema Indústria (CNI/SENAI/SESI) that supports industry by promoting innovation, workforce development, and stronger ties between companies, universities and research institutions. It provides services such as corporate training, professional qualification, internships and student-business integration, technology and management support, and programs to increase industrial competitiveness and knowledge transfer. IEL operates as a business-facing organization focused on improving industry performance and linking academic and technological resources to companies.

📋 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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