ML Ops Engineer for Cloud Features
Budget: $19.0 - $40.0
HOURLY / PART_TIME
⭐ 5.00 (9)
United States
amazon-sagemaker, amazon-web-services, python, devops, docker, cicd, machine-learning, git
Preferred qualifications
- Experience: Intermediate
We’re looking for an ML ops engineer to collaborate with our team on building cloud-based features that support dataset creation and deep learning model training. The role will focus on developing reliable workflows, improving data handling, and helping create scalable infrastructure for model development. You should be comfortable working in a team environment and contributing to practical solutions that help move projects forward efficiently.
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