gold-standard datasets and red-team scenarios;establish data governance and drift monitoring practices. o Ensure safety...
families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift). Experience...
principles, model families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift...
in production and implement strategies to handle data drift. Work with labeled datasets from the review interface to improve model...
principles, model families (e.g., tree-based, deep learning), and practical challenges (e.g., data quality, bias, drift...
, noting some drift in the image classification system that needs investigation. You spend the morning developing a new...
model versioning and reproducibility Implement monitoring systems for model drift, performance, and reliability Automate...
and mitigating risks in AI-generated outputs, including algorithmic bias, data drift, and model explainability. Generative AI Tool...
/streams) with caching layers (Redis/Valkey) and robust observability (traces, logs, drift monitors). Support personalization...
AI models for performance, accuracy, and data drift, ensuring solutions continue to deliver reliable outcomes. Contribute to the...