Estamos em busca de um(a) Data Scientist com foco em Inteligência Artificial (IA) altamente qualificado para integrar nosso time de tecnologia, que queiram trabalhar conosco em um ambiente descontraído e animado, com aprendizado diário no desenvolvimento de grandes projetos, junto a grandes clientes pelo mundo. Você vai projetar e implementar sistemas inteligentes utilizando técnicas clássicas e avançadas de Machine Learning (ML),atuar em colaboração com times multidisciplinares na exploração de dados, construção e avaliação de modelos, além da implantação de soluções baseadas em IA em ambientes de produção — desde plataformas em nuvem até dispositivos embarcados. - Oportunidade híbrida para Curitiba-PR e Sorocaba-SP, com presencial de 2 a 3 vezes por semana no escritório. - Inglês obrigatório. Key Responsibilities: - Design and develop AI-driven software systems using ML models - Use algorithms such as XGBoost, K-means, PCA, Neural Networks, GANs, Reinforcement Learning, LLMs, and more - Train, tune, evaluate, and document ML models using modern frameworks like TensorFlow, PyTorch, and Keras - Prepare models for deployment in different environments (cloud, on-premises, embedded devices) - Collaborate with development teams to integrate models into software architecture and data pipelines - Write technical reports and stay up to date with the latest AI/ML trends and technologies - Contribute to Agile ceremonies and sprint planning within a Scrum team Required Qualifications: - Advanced English (spoken and written, technical level) - Proven experience building, training, and validating ML and AI models - Solid experience handling complex and heterogeneous data (cleaning, deduplication, preparation) - Strong programming skills in Python (Scala, R, and PySpark are nice-to-haves) - Experience with AI libraries/frameworks:TensorFlow, PyTorch, Keras, Caffe, etc. - Solid foundation in algorithms, statistics, regression, decision trees, neural networks - Experience with time series, computer vision, and NLP - Familiarity with Data Lake environments: Hadoop ecosystem, Spark, Kafka - Experience with Microsoft Azure Cloud - Knowledge of automated testing and white-box testing - Nice to Have: - Experience with LLMs (Large Language Models), federated learning, and GPU acceleration - Deployment of models in embedded or edge devices - Familiarity with MLOps practices and model lifecycle in production - Previous experience in international or distributed teams Bonus points for: - Experience with international teams/projects - Advanced English for reading and collaboration - Ability to work independently in remote/distributed environments - _________________ Vem ser OGI Quer saber um pouco mais sobre a OGI? Conheça nossa página. - _________________