Software Engineer, Machine Learning Infrastructure
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El puesto
Design and build scalable, secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
Collaborate with ML engineers, data scientists, and product teams to enable end-to-end workflows across data, analytics, and AI platforms.
Create libraries and services that help ML teams move from experimentation to production across the organization's systems.
Own and solve technical and product challenges by working with diverse systems, processes, and technologies.
Work with teams across the US and Canada to improve day-to-day productivity for ML initiatives.
Focus on high availability, low latency, security, and multi-region reliability to enable rapid ML deployment at scale.
Collaborate with ML engineers, data scientists, and product teams to enable end-to-end workflows across data, analytics, and AI platforms.
Create libraries and services that help ML teams move from experimentation to production across the organization's systems.
Own and solve technical and product challenges by working with diverse systems, processes, and technologies.
Work with teams across the US and Canada to improve day-to-day productivity for ML initiatives.
Focus on high availability, low latency, security, and multi-region reliability to enable rapid ML deployment at scale.
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