Grupo QuintoAndar | Sr Machine Learning Engineer

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Requirements:

• Strong software engineering and Python skills.
• Solid background in Machine Learning.
• Proven experience in productionizing ML models, particularly in deploying and maintaining ML services.
• Good cloud-based infrastructure skills.
• Experience with MLOps tools and libraries (e.g., MLflow, Kubeflow, AWS SageMaker, Google AI Platform).
• Experience developing RESTful APIs.
• Experience with complex technical challenges.
• Humility, curiosity, and a strong interest in learning.
• Ability to adapt to changes in a fast-paced environment.
• Good communication and teamwork skills.
• Orientation to business value.

Responsibilities:

• Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models.
• Integrate other engineering services and systems with ML services.
• Develop frameworks and platforms to build, deploy, serve, and monitor ML-based services.
• Collaborate with Software Engineers, Data Engineers, and Data Scientists along the modeling pipeline including features preparation, model training, API development, service deployment, predictions and features monitoring, and model retraining.
• Assure health and quality of ML services and foster best practices for ML-specific infrastructure.
• Contribute to the vision and architecture to scale ML solutions for QuintoAndar's business.
• Participate in problem contextualization, solution scope, product discovery, and design of ML-based products.
• Manage technical debt balancing short-term value delivery with long-term ML capabilities expansion.
• Bridge dependencies between non-ML services and ML services.