Description: What we expect from you for this position: * Model evaluation metrics and explainability (SHAP, LIME, etc.); * Machine Learning & Deep Learning; * Knowledge of key PEPs (Python Enhancement Proposals); * Experience with libraries such as scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch; * Development and deployment of models via APIs (FastAPI, Flask, etc.); * Integration with LLMs (Large Language Models); * Experience in prompt engineering; * Development of intelligent systems integrated with LLMs (e.g., GPT); * Experience with Databricks. Advantages: * MLFlow for experiment tracking and management; * Azure OpenAI Foundry or other LLM platforms; * Architecture and development of AI Agents focused on productivity and automation. In this team, you will have the opportunity to: * Create, train, and validate Machine Learning and Deep Learning models to solve complex problems; * Work with supervised, unsupervised algorithms, and deep neural networks; * Develop intelligent systems based on LLMs (such as GPT); * Create instructions for optimized prompts; * Perform statistical analyses, hypothesis testing, and evaluation notes; * Ensure model explainability (SHAP, LIME); * Deploy models into production via APIs (FastAPI, Flask); * Automate pipelines using tools such as Databricks Jobs and MLFlow; * Design intelligent agents for productivity and integrate AI with systems. 2512300202491891483