Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at QuintoAndar, you will work on building production-ready Machine Learning models and integrating them into our systems to enhance user experiences.

In Short

• Work in a remote-first environment with a team focused on innovation.
• Combine software engineering and data science to create ML models.
• Integrate ML services with existing engineering systems.
• Develop frameworks for deploying and monitoring ML services.
• Collaborate with various teams throughout the modeling pipeline.
• Ensure the quality and health of ML services.
• Contribute to the vision and architecture for scaling ML solutions.
• Manage technical debt in ML projects.
• Participate in the design and implementation of ML products.
• Bridge communication between ML and non-ML services.

Requirements

• Experience in Machine Learning and Software Engineering.
• Knowledge of API development and deployment practices.
• Familiarity with monitoring and maintaining ML systems.
• Ability to collaborate with cross-functional teams.
• Strong problem-solving skills and technical expertise.

Benefits

• Opportunity to work with cutting-edge technology.
• Informal work environment with a horizontal structure.
• Possibility of learning and professional growth.
• Be part of a high-impact project affecting many lives.