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ML Platform Engineer

Kolvex Cloud

Remote · $130k – $160k / year · Full-time · Posted 3 months ago

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About the role

Have you ever wanted to build the internal platform that other ML engineers actually enjoy using? Our clients include finance teams at large enterprises tracking cloud spend across dozens of accounts, and reliability and auditability are non-negotiable for them. We need a platform engineer to own the shared infrastructure our data science teams build models on top of, from experiment tracking to deployment tooling.

Responsibilities

  • Own the shared ML platform used across data science teams
  • Maintain experiment tracking infrastructure built on MLflow
  • Build self-service deployment tooling for model teams
  • Manage GCP infrastructure supporting the ML platform
  • Set reliability standards for shared platform services

Requirements

  • 5+ years in platform or infrastructure engineering
  • Strong hands-on experience with Kubernetes and Docker
  • Experience running MLflow or comparable experiment tracking tools
  • Familiarity with GCP infrastructure
  • Comfortable supporting internal engineering customers

Benefits

  • Fully remote position
  • Competitive salary + equity
  • Health, dental and vision insurance
  • 401k matching
  • Home office stipend

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Categories

MLOps & AI Infrastructure

Skills

kubernetes docker mlflow airflow gcp

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

MLOps & AI Infrastructure

Skills

kubernetes docker mlflow airflow gcp

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