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Работа с MLOps и инструментами развертывания моделей (Docker, Kubernetes, MLflow). Hard skill. (MLOps. Model deployment. Containerization. Orchestration. Experiment tracking. CI/CD for ML. Self-study. Q&A. Tutorials.)