**Description:** **To excel in this role, you must have:** A completed undergraduate degree in Computer Science, Engineering, Statistics, Mathematics, Information Systems, or related fields; Experience with LLMs, Generative AI, and AI projects; Proficiency in the Microsoft Office suite, with intermediate-level Excel skills; Knowledge of SAP is desirable; Willingness to work on-site in Belo Horizonte/MG. Here’s how you’ll contribute to the Data Engineering team: Developing and implementing Machine Learning and AI models, including applications leveraging LLMs, NLP, computer vision, and predictive models; Supporting data scientists in data analysis and interpretation, linking AI techniques to business problems; Investigating, testing, and validating new AI approaches (fine-tuning, RAG, AI agents, and automation using LangFlow/n8n); Translating business-area needs into technical hypotheses, prototypes, and proofs of concept; Conducting experiments with rigorous statistical methodology and overseeing the full model lifecycle (training, deployment, monitoring, and continuous improvement); Monitoring and disseminating trends in Generative AI, prompt engineering, agent frameworks, and MLOps; Contributing to model governance, best practices for versioning, documentation, and reproducibility; Supporting the integration of AI solutions into company processes and systems, collaborating with Data Engineering and partner teams; Preparing reports, dashboards, and presentations for both technical and business stakeholders. 2512170202551779570