Software Engineer, Machine Learning Infrastructure
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El puesto
Design and build scalable, secure ML infrastructure services for notebooks, model training, experimentation, serving, and LLM applications across multiple regions.
Create libraries and services enabling ML engineers to move from experimentation to production across complex systems.
Collaborate with ML engineers, data scientists, and product teams to improve day-to-day productivity and ML development velocity.
Own end-to-end areas spanning data, analytics, and AI/ML platforms, from design and deployment to operational support.
Build reliable, high-availability, and low-latency systems while ensuring security and compliance in production workflows.
Apply pragmatism and strong collaboration to solve business problems, with exposure to production ML platforms, MLOps, or LLM applications as a strong plus.
Create libraries and services enabling ML engineers to move from experimentation to production across complex systems.
Collaborate with ML engineers, data scientists, and product teams to improve day-to-day productivity and ML development velocity.
Own end-to-end areas spanning data, analytics, and AI/ML platforms, from design and deployment to operational support.
Build reliable, high-availability, and low-latency systems while ensuring security and compliance in production workflows.
Apply pragmatism and strong collaboration to solve business problems, with exposure to production ML platforms, MLOps, or LLM applications as a strong plus.
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