Responsibilities:
- Keep the quality-detection and scoring models accurate and reliable as conditions in the field change;
- Investigate accuracy complaints and disputes, and turn them into concrete model or data fixes;
- Own the forecasting models that predict demand and delivery timing, improving accuracy over time;
- Make sure models run reliably within the hardware and speed constraints of real restaurant environments;
- Work with data engineering to fix the data-quality issues that usually limit accuracy more than the model itself.
- Hands-on experience developing and deploying Computer Vision models in production;
- Experience with forecasting or predictive modeling;
- Comfort working with imperfect, real-world data (camera footage, incomplete sales history).
Nice-to-have:
- Experience in food service, retail, or industrial quality inspection;
- Experience deploying models to low-power or offline devices;
- Logistics or demand-planning background.
- Opportunity to work in a large company with a professional and collaborative IT team;
- Exposure to large-scale, multi-regional systems (Kazakhstan & Uzbekistan);
- Modern office located in the city center;
- Employee discounts and company-sponsored training programs;
- Supportive engineering culture focused on continuous improvement and technical excellence.