Software Engineer 5 - Machine Learning Platform (Model Development and Management)
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El puesto
Lead the development of a self-serve UI layer for the Machine Learning Platform focused on model development, evaluation, experimentation, and deployment.
Gather requirements from ML researchers and data scientists and translate them into practical product features.
Design scalable Python-based services and interfaces with a strong emphasis on distributed systems and software architecture.
Maintain a strong user-first approach and collaborate across cross-functional teams to deliver impactful tooling.
Contribute to open-source initiatives and work with the Metaflow ecosystem to evolve the platform.
Work with public clouds and modern DL frameworks (TensorFlow, PyTorch) as part of the end-to-end ML lifecycle.
Gather requirements from ML researchers and data scientists and translate them into practical product features.
Design scalable Python-based services and interfaces with a strong emphasis on distributed systems and software architecture.
Maintain a strong user-first approach and collaborate across cross-functional teams to deliver impactful tooling.
Contribute to open-source initiatives and work with the Metaflow ecosystem to evolve the platform.
Work with public clouds and modern DL frameworks (TensorFlow, PyTorch) as part of the end-to-end ML lifecycle.
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