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MLOps Engineer - Hourly and Full time

OpsBrasil

Roles & Responsibilities

  • Strong data engineering foundations
  • Hands-on MLOps experience
  • Experience with end-to-end ML pipelines and model serving infrastructure
  • Experience working on contract engagements with international clients

Requirements:

  • Own ML pipelines
  • Own model serving infrastructure
  • Bridge data and production ML at scale

Job description

Cloudary is hiring a Senior ML Engineer with strong data engineering foundations and hands-on MLOps experience for a contract engagement with an international client. You'll own ML pipelines and model serving infrastructure — bridging data and production ML at scale.

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Washington (USA)

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