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AI Inference Workflow Automation Engineer

Evan Ferrari

Contract · Job · Los_Angeles

About the role

Our inference fleet spans three cloud providers, and switching a model between them still takes an engineer half a day of manual configuration work. This contract exists to make that switch a single automated command. You'll build cross-cloud deployment automation that packages models once and deploys them consistently across GCP and Azure, removing the manual reconfiguration step entirely. This is a senior-level contract scoped around a specific infrastructure migration project, with strong potential to extend into ongoing platform work afterward.

Responsibilities

  • Build cross-cloud model deployment automation
  • Eliminate manual reconfiguration between GCP and Azure
  • Package models consistently across cloud environments
  • Document the automated cross-cloud deployment process

Requirements

  • 7+ years of infrastructure engineering experience
  • Hands-on experience with both GCP and Azure
  • Deep Kubernetes and Docker expertise
  • Comfortable working on a scoped contract engagement

Benefits

  • Fully remote contract
  • Competitive contract rate
  • Flexible hours
  • Potential for contract extension

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Categories

Automation & AI Workflows MLOps & AI Infrastructure

Skills

python docker kubernetes gcp mlflow

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Job Type

Contract

Level

Senior

Language

English

Salary Range

Negotiable / Competitive

AI Expertise

Automation & AI Workflows MLOps & AI Infrastructure

Skills

python docker kubernetes gcp mlflow azure

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