Data Engineer (AI)
latency, error rates, and schema drift, with alerting and automated remediation where possible. Implement monitoring...
latency, error rates, and schema drift, with alerting and automated remediation where possible. Implement monitoring...
pipelines for automated model testing, monitoring, drift detection, and versioning. Optimize AI performance for accuracy...
practices including CI/CD for ML, feature stores, model registries, monitoring, drift detection, cloud platforms (AWS, GCP...
the severity of the issue. If it's a simple process drift, you fix it. If it's a design flaw or critical failure...
for semantic search MLOps practices: CI/CD for ML, model monitoring, drift detection, A/B testing, and production model lifecycle...
, and infrastructure lifecycle management for clustered systems including configuration drift control, capacity planning, and continuous...
pipelines for automated model testing, monitoring, drift detection, and versioning. Optimize AI performance for accuracy...
of production-grade machine-learning systems. Direct improvements across the MLOps lifecycle: model monitoring, drift detection...
with robust CI/CD workflows. Deploy models usingMLflow, SageMaker, or custom APIs. Monitor production models for accuracy, drift...
of robust monitoring and alerting systems to detect and address data quality issues, ML feature or model drift and performance...