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Principal ML Ops Engineer (EMEA Remote)
REMOTE · EMEA (REMOTE) · IE
—
Full-time
PRINCIPAL
About the Role
This hands-on role focuses on building scalable, reliable, and efficient ML inference platforms for real-time AI applications. The candidate must have 4+ years of experience in MLOps, Platform Engineering, or SRE, with expertise in model registries, experiment tracking, and automated deployment pipelines.
Responsibilities
- Build and maintain scalable ML inference platforms
- Manage model registries and experiment tracking systems
- Automate deployment pipelines for machine learning models
Requirements
- 4+ years in MLOps/Platform Engineering/SRE
- Experience with model registries, experiment tracking, and automated deployment pipelines
Tech Stack
CI/CDKubernetesDockerMLflow
S
SkillDock
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SkillDock is a platform that provides a registry for discoverable, installable, and publishable AI skills for agents like OpenClaw, Claude, and Gemini. It offers a command-line interface (CLI) and API for managing versioned skills.
