
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.
🕒 December 28, 2025
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Instituto Euvaldo Lodi's careers page, not through a job board
First seen by Remote Rocketship December 28, 2025
Still open on Instituto Euvaldo Lodi's site. Checked 2 days ago.

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.
• Multi-agent architecture for forming a Data & Analytics squad • Standardized validation methodology for LLMs applied to complex tasks • Software development methodology for working with AIs and LLMs • Impact assessment of using multi-agent Data & Analytics systems on productivity
• PhD (Doctorate) • PhD in Computer Science, Computer Engineering, Systems Analysis and Development, or related fields • Required knowledge: Python, data analysis, descriptive statistics, data visualization, analytics, generative AI models, knowledge of RAG (Retrieval-Augmented Generation) • Desired knowledge: Agile methodology, development of statistical models with Machine Learning, knowledge of investment products, knowledge of data engineering
• Stipend: BRL 11,000.00 • Remote work (Home Office) • Duration: 12 months
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