Description:
10+ years of experience in designing and building the data infrastructure that powers ML initiatives. Build scalable, data processing pipelines to support ML training, validation workloads. Create and maintain feature stores with support for both batch and real-time feature serving. Develop frameworks for data quality monitoring, validation, and automated testing. Architect systems for dataset versioning, lineage tracking, and reproducibility. Implement automated data documentation and discovery
Mar 12, 2025;
from:
dice.com