Build and operate engineering layers when required, including orchestrated pipelines, worker-based and event-driven systems, stream processing, and scaling for volume and concurrency.
Own solution quality through data validation, model evaluation, reproducibility, monitoring, alerting, and recovery planning.
Mentor junior data scientists and analysts, review their work, and remove technical blockers so the team can deliver reliably.
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