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
* Explore and clean large datasets, perform feature engineering, and apply statistical analysis
* Apply and combine supervised, unsupervised, and semi-supervised learning methods
* Use algorithms such as XGBoost, K-means, PCA, Neural Networks, GANs, Reinforcement Learning, LLMs, and more
* Apply data augmentation and regularization techniques for different data types: images, time series, tabular data, and natural language
* 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
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