
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.
🕒 October 16
🗣️🇧🇷🇵🇹 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 October 16
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.
• Research enterprise Knowledge Graph architectures • Evaluate layered modeling, partitioning, and traceability strategies • Build experimental Knowledge Graph prototypes • Define quality, coverage, and explainability metrics for queries
• Master’s degree in Computing, Engineering, Applied Mathematics, or a related field • Availability to work 40 hours per week • Knowledge of graph databases • Knowledge of Knowledge Graphs • Knowledge of graph analytics • Knowledge of graph search • Knowledge of graph inference • Knowledge of scalability and partitioning • Experience with Neo4j, Neptune, or equivalent technologies is desirable • Knowledge of large-scale Knowledge Graphs is desirable • Knowledge of inference and reasoning strategies is desirable • Knowledge of high-volume data environments is desirable
• Grant of R$9,000.00 per month • Remote work • 40-hour workweek • 12-month term
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🕒 April 20
Research Scientist defining and executing AI research agenda with global advisers. Building ML pipelines and innovative solutions in a fully remote position.