ML Engineer

• 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.