
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.
🕒 September 2
🗣️🇧🇷🇵🇹 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 September 2
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.
• Map and evaluate the current search capabilities of Mercado IGA, 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 transforming purchasing intentions into structured product sets • Develop solutions for automatically generating shopping carts from lists, commercial proposals, or natural-language descriptions • Build multi-criteria optimization models to recommend shopping cart compositions based on lowest cost, shortest lead time, or fewest suppliers
• Completed or currently pursuing a master’s degree • Degree in 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 • Proficiency in Python applied to modeling, AI, optimization, or data science • Knowledge of embeddings, vector search, or similarity mechanisms • 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 recommendation, or basket optimization • Knowledge of multi-criteria optimization • Experience with Elasticsearch, Typesense, or similar search technologies • Knowledge of graphs, ontologies, or semantic product representation • Publications, research, or applied projects in recommendation, optimization, agents, or intelligent search
• Scholarship Stipend: BRL 9,000.00 • Remote work • Availability for 40 hours per week • 12-month duration
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