Analista de Ciência de Dados em IA Pleno

Accountabilities: Train, evaluate, and optimize Generative AI models, including Large Language Models (LLMs) and multimodal architectures. Design, test, and refine prompts using advanced prompt engineering techniques and adversarial testing methodologies. Perform fine-tuning, hyperparameter optimization, and model performance assessments to improve accuracy and efficiency. Develop and implement effective tokenization and chunking strategies to maximize contextual understanding and model quality. Select, evaluate, and integrate embeddings for Retrieval-Augmented Generation (RAG) applications and intelligent search systems. Identify, monitor, and mitigate biases in datasets and AI models while ensuring ethical and responsible AI practices. Measure model robustness, quality, and security through continuous monitoring and testing frameworks. Collaborate with engineering and architecture teams to integrate AI solutions securely into production pipelines and enterprise environments. Requirements Previous experience in Data Science, Machine Learning, Artificial Intelligence, or related analytical roles. Strong knowledge of Generative AI concepts, including LLMs, Transformer architectures, and diffusion models. Hands-on experience with prompt engineering, fine-tuning techniques, and reinforcement learning concepts such as RLHF. Solid understanding of embeddings, vector search, and Retrieval-Augmented Generation (RAG) methodologies. Familiarity with bias detection, fairness principles, adversarial testing, and AI safety practices. Experience with AI frameworks and orchestration tools such as LangChain, LangGraph, CrewAI, Agno, or similar technologies. Strong analytical thinking, problem-solving capabilities, and the ability to work collaboratively in cross-functional teams. Excellent communication skills and the ability to translate technical concepts into practical business applications. Benefits Remote work model with flexibility to work from anywhere in Brazil. CLT employment contract with long-term stability and comprehensive labor benefits. Flexible working hours to promote work-life balance. Opportunity to work on innovative AI initiatives within a highly digital and technology-driven environment. Inclusive and diverse workplace culture that values different backgrounds, perspectives, and experiences. Exposure to cutting-edge Generative AI technologies and opportunities for continuous learning and professional development. Collaborative environment focused on innovation, agility, and customer-centric solutions.