MLOps Engineer: Deploy AI at Scale Kubernetes
Listed on 2026-10-03
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), SRE/Site Reliability, Data Engineering
Akvelon is seeking an MLOps Engineer/Dev Ops with a machine learning background to enhance AI solutions. You will build and maintain production-grade ML pipelines, focusing on reliability and scalability.
The ideal candidate will have strong Python and Kubernetes experience and collaborate with a large team to deploy models using Kubeflow and Argo Workflows in a modern cloud environment.
Join Akvelon to help scale AI initiatives across major clients and ensure robust operations in production.
As a MLOps Engineer:
Deploy AI at Scale with Kubernetes, you will play an important part at Akvelon in United States.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the MLOps Engineer:
Deploy AI at Scale with Kubernetes role in the description above.
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