Data Quality Engineer, AI Business
Tasks
- Build automated quality checks
- Build dashboards and track quality metrics
- Create repeatable quality playbooks
- Define quality measurement systems
- Drive corrective and preventive actions
- Embed quality controls into workflows
- Implement launch gates
- Lead calibration sessions and coach reviewers
- Own end to end quality design
- Perform root cause analysis
- Run launch readiness processes
- Write quality guidelines and training
Perks/Benefits
Skills/Tech-stack
Agreement Metrics | Anomaly Detection | Automation | CAPA | Cause analysis | Confidence Levels | Dashboards | Data Quality | Data Sampling | Data Validation | Fraud Detection | LLM Evaluation | Monitoring | Python | Red Teaming | Root Cause Analysis | Root cause | SQL | Statistical Analysis
Education
N/A
Roles
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