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KigroupKI performance

MLOps Engineer – Azure & AI/ML Platforms (all genders)

Colognehybridmid

Posted 8mo ago · via Recruitee

About this role

🚀 Become our new MLOps Engineer (all genders) At KI Performance , we move AI from experimentation to production. As a MLOps Engineer , you will design, build, and operate highly scalable, secure Azure-based AI platforms used in production environments. This role sits at the intersection of cloud infrastructure, DevOps, and AI delivery , with a strong focus on enabling iterative AI development , reliable model deployment , and platform scalability . You will work closely with AI engineers, data teams, and product stakeholders to ensure that AI use cases can be developed, deployed, and operated efficiently at scale — with production-grade reliability, security, and observability.…

Read the full description on Kigroup's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, fastapi, rest, azure, vault…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Cologne. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonfastapirestazurevaultterraformgithub actionsopentelemetrymlflowgithubteams

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