Description: What is essential for the position? * Bachelor's degree in computer science, information systems, computer engineering, or related fields. * Practical experience in Machine Learning with tools such as TensorFlow, Keras, or Scikit\-Learn. * Knowledge in generative AI and prompt engineering. * Experience in programming and software engineering, primarily in Python, R, or Java. * Experience in Big Data, Data Engineering, SQL language, and/or Machine Learning. A plus: * Experience with R\&D projects applied to business; * Experience with generative AIs (ChatGPT, Claude, Gemini, etc..); * Practical experience in NLP (Natural Language Processor): classification, taxonomy, topics, ranking, extraction, prediction, and clustering; * Practical experience in ML algorithms, neural networks, and forecasting; * Experience in ML related to audio; * Experience with: docker, cloud environments (AWS, GCP, etc), linux, and git. What are the responsibilities? * Work within a Machine Learning and Data Science team; * Understand business objectives and help develop experimentation models; * Analyze and apply ML algorithms suitable for solving product challenges; * Analyze data quality and ensure it through data cleaning and curation; * Create and supervise the data collection process when more data is needed to build datasets; * Create and improve feature extraction from phone calls, WhatsApp, and similar audio sources; * Create and define validation and reengineering strategies for required features; * Analyze model and prediction errors, and define correction strategies; * Deploy models into production. 2511090202181779848