Remote AI Infrastructure Engineer - ML Platform & Deployment

Zyphe; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Zyphe is seeking an AI Engineer specializing in ML infrastructure to build and scale its machine learning platform. This remote position involves owning the entire ML platform, ensuring that AI capabilities are reliable and efficient.

The ideal candidate will have strong expertise in Kubernetes, Docker, and ML workflow tools. A Bachelor's degree in a related field is required, along with production experience in building ML infrastructure.

Qualifications

• Experience in building ML infrastructure in production.
• Knowledge of Kubernetes and cloud orchestration.
• Hands-on experience with ML workflow tools.

Responsibilities

• Design and maintain scalable ML training pipelines.
• Build and optimize model serving infrastructure.
• Implement CI/CD for ML and automated testing.

Skills

Building ML infrastructure

Kubernetes

Docker

Cloud-native orchestration on AWS or GCP

ML workflow tools (Ray, Kubeflow, MLflow)

Python

Go or Rust

Education

Bachelor's degree in a related field

Tools

Kubernetes

Docker

ML workflow tools (Ray, Kubeflow, MLflow)

Job description

Zyphe is seeking an AI Engineer specializing in ML infrastructure to build and scale its machine learning platform. This remote position involves owning the entire ML platform, ensuring that AI capabilities are reliable and efficient.

The ideal candidate will have strong expertise in Kubernetes, Docker, and ML workflow tools. A Bachelor's degree in a related field is required, along with production experience in building ML infrastructure.