
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 18, 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 18, 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.
• Arquitetura multiagentes para formação de Squad de Dados & Analytics • Metodologia de validação padronizada para LLMs com tarefas complexas • Metodologia de desenvolvimento de software com IAs e LLMs • Impacto do uso de multiagentes de Dados & Analytics na produtividade, estudo de caso na área de investimentos.
• Perfil do bolsista: Tech 4 - Doutor • Formação: Doutorado • Cursos: Ciência de Computação, Engenharia da Computação, Análise e Desenvolvimento de Sistemas • Conhecimento em backend em Python • Modelos de IA Generativa, LangChain ou equivalentes • Conhecimento em RAG (Retrieval-augmented generation) • ETL • Desenvolvimento de APIs • Padronização de código • Testes unitários e de integração • Conhecimentos desejáveis: Metodologia ágil; Desenvolvimento de modelos estatísticos com Machine Learning; Conhecimento em produtos de investimentos; Conhecimento em engenharia de dados.
• Disponibilidade: 40h semanais • Bolsa Auxílio: R$ 11.000,00
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