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Senior ML Engineer

BELLISSIMO PIZZA INTERNATIONAL
Ташкент
На месте работодателя
Опубликовано: 10 Sep 2026
Responsibilities:
  • Develop, deploy, and maintain computer vision models for recognition and quality assessment;
  • Ensure model accuracy and reliability as restaurant operating conditions change;
  • Investigate complaints and disputed cases related to model accuracy and identify required improvements to models and data;
  • Develop and improve models for demand and delivery time forecasting;
  • ​​​​​​​Monitor model performance and identify accuracy and reliability issues;
  • ​​​​​​​Optimize models to operate under limited computing resources and real-time performance requirements;
  • ​​​​​​​Work closely with the Data team to identify and resolve data quality issues;
  • ​​​​​​​Analyze real-world data, including camera footage, sales history, and other incomplete or changing datasets;
  • ​​​​​​​​​​​​​​Drive ML-related problems through to resolution, including issues related to data, infrastructure, or business processes;
  • Collaborate with cross-functional teams and clearly communicate model limitations and results to non-technical stakeholders.
Requirements:
  • Hands-on experience developing and deploying Computer Vision models in production;​​​​​​​​​​​​​
  • Experience with forecasting and predictive modeling;
  • Experience working with real-world, incomplete, and changing datasets;
  • ​​​​​​​Understanding of ML model deployment, monitoring, and continuous improvement in production;
  • ​​​​​​​Experience optimizing models for limited computing resources and performance requirements;
  • ​​​​​​​Ability to investigate model performance issues and work with Data and Engineering teams to identify and implement solutions.​​​​​​​
What we offer:
  • 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.
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