Description:
Job Title: MLOps Engineer Distributed Systems (Ray) Location: Austin-TX Duration: Long Term Job Summary: We are looking for a skilled and motivated MLOps Engineer with deep expertise in distributed machine learning and a strong understanding of Ray for scalable and efficient ML infrastructure. You will be responsible for automating and maintaining ML pipelines, enabling reproducible training and inference, and working alongside Data Scientists and ML Engineers to productionize models at scale. K
May 27, 2025;
from:
dice.com