Data Scientist developing generative AI solutions for Itaú, the largest bank in Latin America. Collaborating on innovative IA projects aimed at customer impact.
Responsibilities
Create, evolve, and implement generative AI agents and solutions based on LLMs (text-to-text, multimodal, and tool-using).
Participate in the full AI product development cycle: design, modeling, experimentation, validation, and production deployment.
Explore and apply advanced NLP techniques, deep learning, and multi-step reasoning across different business domains.
Work with vector knowledge bases, LangChain/LangGraph, embeddings, and integrations with LLM APIs (OpenAI, Azure, and others).
Develop and optimize data pipelines, feature stores, and evaluation frameworks for generative models.
Support the team in creating best practices, templates, and internal frameworks to accelerate the development of new AI products.
Collaborate with engineers, designers, and business specialists to turn real needs into intelligent, secure, and scalable solutions.
Communicate results and learnings clearly, with an impact focus and aligned to the bank’s AI strategy.
Requirements
Experience in Python, with strong command of data science and AI libraries (pandas, scikit-learn, PyTorch or TensorFlow).
Knowledge of language models and NLP (transformers, embeddings, fine-tuning, prompt engineering).
Experience with generative AI frameworks and APIs (Hugging Face, OpenAI API, LangChain, etc.).
Ability to translate complex problems into applicable data and AI solutions.
Collaborative mindset and a curiosity for continuous learning.
Familiarity with vector architectures (FAISS, Milvus, ChromaDB) and retrieval-augmented generation (RAG).
Knowledge of MLOps and best practices for model versioning and observability.
Interest in topics such as agent evaluation, AI safety, interpretability of LLMs, and multi-agent systems.
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