MLOps Engineer
Investigate a drift or serving incident without losing the model and deployment context.
Prepare reviewable inputs for an AI-assisted workflow
Run the mortgage kit and inspect the income discrepancy. Define which source fields an assistant may use, which statements require evidence, and where a human must review its recommendation.
Start with the browser demo or download the local kit. For the workspace exercise, you need approved access to the relevant Genedata capabilities and a reviewer for your output.
Practice tasks
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Notes and progress are saved on this device.
Keep model operations in view.
Investigate a drift or serving incident without losing the model and deployment context.
Review endpoint health, active versions, latency, errors, and cost in the operational views.
Trace an alert to the model version, relevant baseline, and recent deployment or data changes.
Coordinate the response with the model owner. Use the approved rollback or recovery procedure when needed.
Record the incident, verify recovery, and update the runbook or monitoring threshold after review.
Expected handoff
An incident record, recovery evidence, and an updated operating procedure.
Explore your platform capabilitiesMeasure your progress
- Time to identify the affected model and change
- Repeat incidents with the same unresolved cause
Use AI to summarize incident evidence; have the on-call owner validate the cause and authorize corrective action.