Machine Learning Platform Engineer
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El puesto
You will own the ML platform components that enable feature engineering, training, and serving at scale.
Design and enhance high-availability, low-latency inference infrastructure for predictive models and large language models.
Optimize streaming pipelines to ensure ML models receive the freshest, highest-quality data.
Promote state-of-the-art practices for distributed training on large datasets.
Build tooling that observes data quality and detects degradations impacting model performance.
Collaborate with ML engineers to deliver a seamless experience via robust developer tooling and clear communication.
Design and enhance high-availability, low-latency inference infrastructure for predictive models and large language models.
Optimize streaming pipelines to ensure ML models receive the freshest, highest-quality data.
Promote state-of-the-art practices for distributed training on large datasets.
Build tooling that observes data quality and detects degradations impacting model performance.
Collaborate with ML engineers to deliver a seamless experience via robust developer tooling and clear communication.
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CiudadRemote (US), United States