Staff, Software Engineer- MLE
families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift). Experience...
families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift). Experience...
in production and implement strategies to handle data drift. Work with labeled datasets from the review interface to improve model...
families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift). Experience...
projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection...
principles, model families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift...
principles, model families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift...
agents as the platform evolves Implement model monitoring, drift detection, alerting, and performance tracking frameworks...
model versioning and reproducibility Implement monitoring systems for model drift, performance, and reliability Automate...
AI models for performance, accuracy, and data drift, ensuring solutions continue to deliver reliable outcomes. Contribute to the...
, noting some drift in the image classification system that needs investigation. You spend the morning developing a new...