Responsibilities:
- Development and optimization of models: fine-tuning and deployment of detection and regression models for pizza quality control;
- Integration, automation, and scaling of the overall ecosystem via Kafka, and ensuring efficient model performance on Edge devices;
- Development of ML services, support and improvement of services based on FastAPI;
- Development of new ML solutions for sales forecasting and delivery automation.
- Strong experience in Python and deep learning frameworks like PyTorch, TensorFlow;
- Proven track record of deploying computer vision models in real-world settings;
- Familiarity with message brokers and database management for high-frequency data;
- Ability to write clean, device-agnostic code that works across different hardware.
- Competitive salary based on experience and performance;
- Opportunity to work on large-scale, multi-region systems (KZ&UZ);
- Involvement in real-time and secure architecture solutions;
- Continuous professional development (training, certifications, mentorship);
- Supportive and collaborative engineering culture focused on technical excellence.