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Check model performance dashboards. Flag any drift in fraud detection recall — looks like a 0.8% drop over 48 hours, worth investigating.

Review two PRs from junior engineers. One has a subtle data leakage issue in the feature pipeline. Leave detailed comment explaining why it matters in production.

New model architecture finished training overnight. 3% improvement on validation set but 40% slower at inference. Write up trade-off analysis for the team.

Product wants new feature in three weeks. Honest answer is six. Negotiate scope — trimming three requirements gets it to four weeks without compromising quality.

Redesigning feature store to support real-time lookups for the fraud model. This is the work that moves the architecture forward. Block calendar, mute Slack.

Write runbook for the new serving infrastructure. Unglamorous. Essential. Saves hours of debugging at 2 AM when something inevitably breaks.