- Own the full lifecycle of ML/AI products from first prototype to production system.
- Build automated systems behind data quality, including models and pipelines.
- Set the bar for scalable, robust, and production-ready ML engineering.
- Partner directly with leadership to shape the data science roadmap and priorities.
- Mentor other data scientists and raise team practices (for Senior level).
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