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.…
What we'd score you on
reqspace match rubricFive 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
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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