MLOps Engineer: Deploy AI at Scale with Kubernetes

Akvelon; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Akvelon is seeking an MLOps Engineer/DevOps 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.

Qualifications

• Experience building ML pipelines and deploying ML models.
• Strong Python development and scripting skills.
• Experience with Kubernetes-based deployment and containerization.

Responsibilities

• Design and maintain robust ML pipelines and deployment workflows.
• Collaborate with teams to ensure reliability and scalability of AI systems in production.
• Leverage Kubeflow and Argo Workflows to automate end-to-end processes.

Skills

MLOps

DevOps

Python

Kubernetes

Kubeflow

Argo Workflows

Tools

Kubeflow

Argo Workflows

Job description

Akvelon is seeking an MLOps Engineer/DevOps 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.