MLOps Solutions Engineer

European Tech Recruit • European Union

Remote

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AI Summary

Develop and deploy MLOps frameworks for Machine Learning engineers and Data Scientists. Lead proofs of concept, drive technical demos, and ensure customer success. Influence product strategy and represent the company at events.

Key Highlights

MLOps framework development

Proof of concept leadership

Customer success

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Key Responsibilities

Drive technical demos, deep-dive sessions, and enterprise evaluations

Lead PoCs from deployment to success, troubleshooting Kubernetes and ML pipelines

Translate customer feedback into actionable product insights

Enable adoption, engagement, and retention

Represent the company at events, creating content and sharing best practices

Technical Skills Required

ZenML Kubernetes Docker Helm Terraform Python AWS GCP Azure

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Benefits & Perks

100% remote work

Permanent full-time role

Job Description

MLOps Solutions Engineer - Kubernetes / Docker / Helm

We're partnered with a genuinely exciting open source company, who are focused on developing an MLOps frameworks that allows Machine Learning engineers and Data Scientists to build, reproduce, and deploy ML pipelines.

They're seeking a high-energy engineer who can navigate MLOps technology, pre-sales, and customer enablement. You’ll turn complex workflows into clear solutions, lead proofs of concept, and ensure customers succeed while influencing product strategy.

This is a permanent full time role, and can be undertaken on a 100% remote basis (+/- 2 hours of CET)

Please note: you must have the full right to work in the country you reside.

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