Responsibilities:
- Development and optimization of ML models (detection and regression) for product quality control;
- Fine-tuning, testing, and deployment of models into production;
- Integration of ML models into the company’s overall IT ecosystem;
- Automation and scaling of solutions using Apache Kafka;
- Ensuring efficient model performance on Edge devices;
- Development, maintenance, and improvement of ML services based on FastAPI;
- Development of new ML solutions for sales forecasting;
- Building ML-driven solutions for delivery automation.
Requirements:
- Proven experience in developing and deploying ML models (detection, regression);
- Strong proficiency in Python;
- Experience with ML frameworks (PyTorch / TensorFlow / Scikit-learn);
- Experience deploying models into production environments;
- Experience with streaming data processing (Kafka is a plus);
- Understanding of Edge device architecture;
- Experience developing API services (FastAPI is preferred);
- Understanding of MLOps principles is a plus.
- Work in a large company with a friendly and young IT team;
- Opportunity to work on large-scale, multi-region systems (KZ&UZ);
- Modern office located in the city center;
- Competitive and timely salary;
- Continuous professional development (training, certifications, mentorship);
- Supportive and collaborative engineering culture focused on technical excellence.