
1001 - 5000 employees
Founded 1972
🤝 B2B
🤝 Non-profit
📚 Education
B2B • Non-profit • Education
Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.
🔥 19 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1972
🤝 B2B
🤝 Non-profit
📚 Education
B2B • Non-profit • Education
Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.
• Map and evaluate the current Mercado IGA search experience, including ranking mechanisms, semantic search, and result relevance • Develop models for clustering equivalent offers to support Buy Box functionality and supplier comparisons • Create conceptual search mechanisms capable of converting purchasing intent into structured product sets • Develop solutions for automatically generating shopping carts from lists, commercial proposals, or natural-language descriptions • Build multicriteria optimization models to recommend cart compositions based on the lowest cost, shortest lead time, or fewest suppliers
• Fellow profile: Master’s degree candidate • Education: completed or currently pursuing a degree • PhD in one of the following or related fields: Computer Science, Data Science, Computer Engineering, Engineering, Information Systems, Artificial Intelligence, Natural Language Processing, or Applied Mathematics • Practical or academic experience with search, ranking, or recommendation systems • Knowledge of Python applied to modeling, AI, optimization, or data science • Knowledge of embeddings, vector search, or similarity engines • Experience with optimization algorithms or operations research • Knowledge of multi-agent systems or intelligent-agent architectures • Ability to model decision-making problems involving multiple criteria and constraints • Previous experience in marketplaces, e-commerce, procurement, or supply chain • Experience with Buy Box functionality, product matching, item recommendations, or basket optimization • Knowledge of multicriteria optimization • Experience with Elasticsearch, Typesense, or similar search technologies • Knowledge of graphs, ontologies, or semantic product representation • Publications, research, or applied projects in recommendation systems, optimization, intelligent agents, or smart search • Availability to work 40 hours per week
• Monthly scholarship: BRL 9,000.00 gross • Fully remote • 12-month duration
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