Machine Learning Engineer Especialista II Diretoria de Dados - Consumidor - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer Especialista II (Diretoria de Dados - Consumidor) based in Brazil.

This role offers the opportunity to design and scale advanced machine learning solutions that transform consumer data into impactful business insights. You will work at the intersection of AI, data engineering, and cloud technologies within a dynamic and innovation-driven environment. The position focuses on building end-to-end ML pipelines, improving model performance, and enabling data products that support strategic decisions. You will contribute to the evolution of MLOps practices, AI architectures, and generative AI solutions. Working with multidisciplinary teams, you will help prototype ideas, validate concepts, and deliver scalable AI capabilities. The role requires strong technical expertise, curiosity, and the ability to turn complex challenges into practical solutions. This is an opportunity to influence the future of data-driven experiences through cutting-edge technology.

Accountabilities:

The Machine Learning Engineer will be responsible for developing, optimizing, and maintaining advanced data and AI solutions, ensuring reliability, scalability, and business impact. The role combines technical leadership, engineering excellence, and collaboration with different stakeholders to deliver innovative machine learning products.

• Build end-to-end Machine Learning pipelines, including data preparation, code optimization, automated model training, and prediction workflows.
• Monitor model quality, efficiency, costs, and usage metrics for data products and AI solutions.
• Provide technical leadership in MLOps processes, establishing development, deployment, and maintenance best practices.
• Design and implement cloud-based architectures for AI and data solutions using platforms such as GCP, AWS, or Azure.
• Develop data pipelines incorporating Generative AI models, including workflows for transforming unstructured data into structured information.
• Create pilots and prototypes with business teams to validate concepts and demonstrate value.
• Establish documentation practices for processes, APIs, technical decisions, and postmortems.
• Collaborate with cross-functional teams to identify opportunities where machine learning can solve complex business challenges.

Requirements:

The ideal candidate combines strong machine learning expertise with software engineering skills and the ability to work independently in a fast-changing technology environment.

• Solid knowledge of Machine Learning concepts, including supervised learning, unsupervised learning, and Generative AI.
• Advanced programming skills in Python and SQL.