Description: * Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Physics or related fields; * Proficiency in Python and SQL; * Knowledge of cloud computing platforms (AWS, Azure or GCP); * Familiarity with RESTful APIs, containerization (Docker) and orchestration (Kubernetes); * Strong experience with code versioning (e.g., Git); * Knowledge of tools for monitoring models in production; * Practical experience with MLOps and tools such as MLflow, Airflow or similar; * Ability to implement AI solutions in production environments, focusing on scalability and security; * Experience with LLM (Large Language Models) APIs; * Good communication skills and ability to work with multidisciplinary teams. It will be a plus if you have: * Knowledge of governance and security techniques applied to generative AI; * Experience with RAG (Retrieval-Augmented Generation) and other advanced generative AI techniques; * Knowledge of C# for integration with existing systems; * Experience in agile environments and methodologies such as Scrum or Kanban. We are looking for a Senior Machine Learning Engineer to work at the intersection of machine learning/deep learning, cloud technologies, and system architecture. The professional will be responsible for creating and implementing advanced statistical models, machine learning algorithms, and generative artificial intelligence solutions. The role will focus on best MLOps practices, including code and data versioning, as well as model deployment and monitoring in production, playing a strategic role in the development of our AI products. What you will do: * Apply best MLOps practices, including data and code versioning, and model serving; * Develop new end-to-end product features; * Build robust and scalable code for production deployment; * Create pipelines for deployment and monitoring of models in production; * Work with Generative Artificial Intelligence solutions; * Collaborate with multidisciplinary teams, demonstrating good communication and teamwork. 2511090202181673857