Senior Data Scientist (ML, RAG, LLMs & Agents)

Define and implement complete Artificial Intelligence solutions, using advanced deep learning, big data and data science techniques, from conception, experimentation and modeling to productization. Implement (Big) data engineering pipelines for collecting, integrating, processing and analyzing large volumes of structured and unstructured data. Develop, train, refine, publish and monitor machine learning, deep learning, LLMs, Generative AI and Agent models. Develop the software necessary to integrate developed ML models with the software that uses it, transforming these models into scalable, high-impact solutions, ensuring the application of good development and SW architecture practices. You will also work directly with clients from different parts of the world to understand business requirements, negotiate scopes and align deliveries and ensure the application of best practices in data governance, security and scalability of developed solutions. Provide technical support and mentoring to the team, promoting a culture of continuous learning and innovation.