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MLOps Engineer - Hourly and Full time (106-05SENG-02)

OpsBrasil

Key Facts

Remote From: 
Washington (USA)
Full time
English

Roles & Responsibilities

  • Strong data engineering foundations
  • Hands-on MLOps experience
  • Experience building and deploying ML pipelines and model serving infrastructure
  • Experience delivering production ML systems at scale

Requirements:

  • Own end-to-end ML pipelines from development to production
  • Manage and scale model serving infrastructure
  • Bridge data engineering with production ML to enable scalable deployment
  • Collaborate with international client on contract engagement

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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