🔥 4 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
🗣️🇪🇸 Spanish Required
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• The fellow will support the structuring, development, and evolution of a data solution based on Retrieval-Augmented Generation (RAG), with a focus on organizing, governing, and intelligently providing access to the area's information.
• Modality: TECH 3 Master's • Education: Master's degree • Degree fields: Computer Engineering; Systems Analysis and Development; Electrical Engineering • Data fundamentals and programming • Data and file handling • Cloud (preferably AWS) • AI / RAG concepts (introductory level sufficient) • LGPD (Brazilian Data Protection Law) and data security • Basic interface development and development best practices • Experience or interest in generative AI and RAG • Knowledge in data engineering and cloud (especially AWS) • Familiarity with governance and LGPD • Experience with end-to-end development • Analytical mindset and experimentation skills • Participation in research projects or a personal portfolio demonstrating autonomy and practical interest.
• Availability: 40 hours per week • Duration: 12 months • Stipend: BRL 9,000.00 • Work mode: Remote
Apply Now🔥 1 hour ago
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