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Builds and runs Uzum's production ML pipeline: model inference on Triton, automated retraining and delivery, CI/CD with ML workloads, containerization, observability, and high-availability deployment on own GPU servers. Core stack: Python, Docker, Triton/ONNX/TensorRT, FastAPI, Linux.
Senior Data Scientist defining how ML models are evaluated at Uzum: designing offline/online and guardrail metrics, labeling methodologies, experiment designs, and ML quality reporting tied to business goals. Core stack is Python (pandas, numpy, scipy, sklearn) with strong statistics and classical ML; recommender-system evaluation experience is highly desirable.