MLOps Engineer / DevOps with ML background

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 their AI solutions. Ideal candidates should have strong MLOps and DevOps experience, particularly with Python and Kubernetes.

Akvelon is an international software development company working with major clients like Microsoft and Google. The role focuses on integrating MLOps practices with DevOps methodologies to streamline AI model deployment and operations.

The successful candidate will collaborate with a large team to build and maintain robust pipelines using tools such as Kubeflow and Argo Workflows. Success in this role will involve ensuring the reliability and scalability of AI systems in production.