Pessoa Engenheira de Dados | MLE - Pleno

Implement and maintain key functionalities of ML processes, including ML pipelines, model production, monitoring and evaluations. Translate business needs into effective and efficient ML systems and applications. Proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements. Stay updated on the latest developments in MLOps, continuously improving machine learning workflows. Document the processes. It is important to have adaptability to handle different scenarios and challenges in a dynamic environment, focus on results, with the ability to prioritize what generates the most impact, autonomy and collaboration to work productively in the remote model.