Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engenheiro de Dados - ML Especialista in Brazil.
This role is a high-impact technical position focused on designing, building, and scaling data infrastructure that powers advanced Machine Learning solutions in production environments. You will act as a key architect of data pipelines, ensuring that data is reliable, accessible, and optimized for both training and inference of ML models. Working at the intersection of data engineering and machine learning, you will help define the standards for MLOps and data strategy within a collaborative and innovation-driven engineering culture. The position involves close interaction with data scientists and engineering teams to enable robust, scalable AI systems. You will also play a strategic role in mentoring peers and shaping best practices for data workflows and ML operations. This is a hands-on, leadership-oriented role where your work directly impacts model performance and business outcomes at scale.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Engenheiro de Dados - ML Especialista in Brazil.
This role is a high-impact technical position focused on designing, building, and scaling data infrastructure that powers advanced Machine Learning solutions in production environments. You will act as a key architect of data pipelines, ensuring that data is reliable, accessible, and optimized for both training and inference of ML models. Working at the intersection of data engineering and machine learning, you will help define the standards for MLOps and data strategy within a collaborative and innovation-driven engineering culture. The position involves close interaction with data scientists and engineering teams to enable robust, scalable AI systems. You will also play a strategic role in mentoring peers and shaping best practices for data workflows and ML operations. This is a hands-on, leadership-oriented role where your work directly impacts model performance and business outcomes at scale.