Data Quality Engineer, AI Business
Tasks
- Build and deploy automated quality checks and launch gates
- Build dashboards and operating cadences for quality tracking
- Define implement and maintain quality measurement systems
- Design and run launch readiness processes
- Embed in study quality controls and authenticity checks
- Investigate quality and integrity issues and drive corrective actions
- Lead calibration sessions and coach QA leads and reviewers
- Own end to end quality design for managed service studies
- Translate quality fixes into repeatable scalable playbooks
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Automation | Cause analysis | Dashboards | Data Drift | Data Drift Detection | Data Integrity | Data Modeling | Data Quality | Data Validation | Drift Detection | Fraud Detection | ML evaluation | Python | Root Cause Analysis | Root cause | SQL | Sampling | Statistics
Education
N/A
Roles
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