Machine Learning Engineer

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Design, develop, and maintain production-ready machine learning systems supporting advanced AI-powered products.
• Own the complete machine learning lifecycle, including data preparation, model training, evaluation, deployment, inference, monitoring, and continuous improvement.
• Translate research concepts into scalable, reliable production solutions that meet business and technical objectives.
• Investigate, troubleshoot, and resolve model performance issues and production incidents using real-world data and operational insights.
• Continuously optimize machine learning models for accuracy, latency, scalability, reliability, efficiency, and operational cost.
• Collaborate closely with cross-functional teams to integrate machine learning capabilities into production products.
• Mentor other machine learning engineers through technical guidance, code reviews, and knowledge sharing.
• Build and maintain robust training, inference, and data pipelines while ensuring system stability under production constraints.

Requirements

• Proven experience designing, developing, and deploying machine learning systems used in production environments.
• Strong expertise in Python and deep learning frameworks such as PyTorch and/or JAX.
• Hands-on experience with GPU-based training and inference systems, including performance optimization and large-scale model deployment.
• Solid understanding of modern machine learning models, their behavior in production, and strategies for identifying and resolving failure modes.
• Experience writing clean, maintainable, and production-quality software with a systems-oriented engineering mindset.
• Ability to independently manage projects from concept through deployment while balancing speed, quality, and reliability.
• Strong analytical and problem-solving skills with an iterative, data-driven approach to improving machine learning performance.
• Excellent communication and collaboration skills, with experience working alongside research, engineering, and product teams.
• Previous mentoring or technical leadership experience is considered an advantage.

Benefits

• Fully remote full-time position with the flexibility to work from Brazil.
• Opportunity to work on innovative AI products solving complex real-world challenges.
• High level of ownership and autonomy in a technically ambitious environment.
• Collaboration with a highly skilled, multidisciplinary team focused on engineering excellence.
• Exposure to cutting-edge machine learning technologies and large-scale AI systems.
• Transparent and efficient recruitment process with timely communication throughout.
• Strong opportunities for professional development and long-term career growth.