Master's Fellow – Data Engineering, Automated Ingestion, AWS S3, Data Governance

This is a fully remote position, open to applicants in Brazil.

📋 Description

• The fellow will assist in the structuring, development, and advancement of a data solution centered around Retrieval-Augmented Generation (RAG), emphasizing the organization, governance, and intelligent access to the relevant information in the area.

⛳️ Requirements

• Modality: TECH 3 Master's

• Education: Master's degree

• Degree fields: Computer Engineering; Systems Analysis and Development; Electrical Engineering

• Fundamentals of data and programming

• Data and file management skills

• Cloud experience (preferably AWS)

• Basic understanding of AI / RAG concepts

• Knowledge of LGPD (Brazilian Data Protection Law) and data security practices

• Basic interface development skills and adherence to development best practices

• Experience or interest in generative AI and RAG methodologies

• Familiarity with data engineering and cloud technologies, especially AWS

• Understanding of governance and LGPD compliance

• Experience with complete end-to-end development processes

• An analytical mindset coupled with experimentation capabilities

• Involvement in research projects or a personal portfolio showcasing autonomy and practical interest.

🏝️ Benefits

• Availability: 40 hours per week

• Duration: 12 months

• Stipend: BRL 9,000.00

• Work mode: Remote