ML Engineer User Stories
Notes on ML Engineer User Stories for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- Skim the file index below for the questions this folder helps answer.
- Cross-reference notes on related topics from the home page.
Files in this folder
| File | Title |
|---|---|
| README.md | ML Engineer User Stories — MangaAssist Chatbot (Amazon-Scale) |
| US-MLE-01-intent-classifier-retraining-pipeline.md | US-MLE-01: Intent Classifier Retraining Pipeline |
| US-MLE-02-cross-encoder-reranker-training-and-online-ranking.md | US-MLE-02: Cross-Encoder Reranker Training & Online Ranking |
| US-MLE-03-sentiment-absa-lifecycle.md | US-MLE-03: Sentiment + ABSA (Aspect-Based Sentiment Analysis) Lifecycle |
| US-MLE-04-demand-forecasting-pipeline.md | US-MLE-04: Demand Forecasting Pipeline |
| US-MLE-05-embedding-adapter-finetuning-and-reindex.md | US-MLE-05: Embedding Adapter Fine-Tuning + Re-Index |
| US-MLE-06-recommendation-model-training-and-cold-start.md | US-MLE-06: Recommendation Model Training + Cold-Start |
| US-MLE-07-spam-abuse-classifier-and-adversarial-labels.md | US-MLE-07: Spam/Abuse Classifier + Adversarial Labels |
| US-MLE-08-cover-art-style-classifier-and-image-monitoring.md | US-MLE-08: Cover-Art Style Classifier + Image Monitoring |
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