- Own end-to-end ML from problem framing and data pipelines to model training, evaluation, and production deployment
- Translate product problems into ML solutions and measurable targets
- Build reliable data pipelines and features; ensure data quality
- Train, evaluate, and iterate on DL/ML models
- Productionize models (APIs/batch jobs), monitor performance, and improve
- Collaborate with product, design, and engineering to ship impact fast
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