Machine Learning Engineer | Senior

📋 Description

• Industrialize the core machine learning model of a Voice of the Customer platform, moving models
• Transform notebook-based machine learning solutions into scalable, parametrized, and
• Structure and maintain the MLOps lifecycle, ensuring robust model versioning, reproducibility
• Develop and manage training and inference pipelines using Amazon SageMaker, including Jobs
• Perform statistical validation to ensure score parity and consistency between existing models and
• Contribute to the evolution of a VoC platform that integrates data from multiple channels to

🎯 Requirements

• Proven professional experience developing and deploying machine learning solutions using Python in
• Strong experience with PyTorch and hands-on development of machine learning models.
• Practical experience with AWS SageMaker, including Jobs, Pipelines, Model Registry, and GPU-based
• Solid understanding of MLOps practices, including model and experiment versioning, reproducibility
• Experience with statistical validation and model comparison, with the ability to assess model
• Strong analytical and problem-solving skills, with a hands-on approach to investigating technical

🎁 Benefits

• Remote work opportunity within Brazil.
• Opportunity to work on the industrialization and scaling of production machine learning models.
• Hands-on exposure to AWS, SageMaker, PyTorch, MLOps, and modern AI engineering practices.
• Opportunity to contribute to a Voice of the Customer platform that transforms multi-channel data
• Environment focused on Artificial Intelligence, Generative AI, advanced technologies, and digital
• Access to AI-driven tools and cutting-edge technologies supporting the development of