Detaily projektu

lead the development of the library, writing clean, efficient, and well-documented Python code
architect scalable, high-quality solutions for the library with an emphasis on modularity, reusability, and maintainability
conduct thorough testing, including unit and integration tests using tools like Jest, Mocha, or Chai
set up and maintain CI/CD pipelines for automated testing and deployment of the library
use containerization technologies, such as Docker, and orchestration tools, such as Kubernetes, for deploying and scaling models
develop and maintain robust APIs for model serving, using FastAPI or Flask to ensure they meet performance and scalability standards

Požiadavky projektu

8-10 years of Python experience
very good experience with Azure cloud
platforms and its machine learning and data services
experience with Docker, Kubernetes, or similar technologies for model deployment and scaling
ability to develop and maintain APIs for model
serving, especially with frameworks like FastAPI or Flask

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