Machine Learning Platform Engineer
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El puesto
Form a deep understanding of ML Engineers' needs and current capabilities.
Advance high-availability, low-latency ML inference infrastructure for predictive models and LLMs.
Optimize low-latency streaming pipelines to deliver the freshest, highest-quality data.
Evangelize and implement state-of-the-art practices for distributed training on large data volumes.
Build tooling to observe data quality and detect degradations impacting model performance.
Collaborate with platform users to deliver a seamless developer experience and production-ready services.
Advance high-availability, low-latency ML inference infrastructure for predictive models and LLMs.
Optimize low-latency streaming pipelines to deliver the freshest, highest-quality data.
Evangelize and implement state-of-the-art practices for distributed training on large data volumes.
Build tooling to observe data quality and detect degradations impacting model performance.
Collaborate with platform users to deliver a seamless developer experience and production-ready services.
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