Data Systems Architect

Há 3 dias


Buenos Aires, Brasil beBeeMachineLearning Tempo inteiro US$80.000 - US$150.000
Job Description">

As a highly skilled ML Ops Engineer, you will be responsible for optimizing and maintaining high-reliability systems and pipelines that scale to millions of requests per second on large volumes of data.

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Key responsibilities include taking care of observability, automation, reliability, scalability, continuous integration, and security across multiple business domains in a platform-oriented way.

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You will work with other ML developers from multiple teams to integrate their work within our infrastructure, participate in code reviews, take part in architecture and design sessions, and proactively watch for recent developments in relevant technologies and assess their applicability.

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Additionally, you will help maintain, extend, and improve existing data/ML workflows and implement new ones to handle high-volume data flows, reducing time-to-deployment for dashboards and ML models.

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