Description:
Role: ML OPS Engineer Location: Orlando, FL (Onsite) Duration: 6+ months Experience Required: Overall 10 years out of 5-8 years relevant experience in MLOps. Deep quantitative/programming background with a degree (Bachelor's) in a highly analytical discipline, like Statistics, Economics, Computer Science, Mathematics, Operations Research, etc Responsibilities: Design and implement cloud solutions, build MLOps on Azure cloud Build CI/CD pipelines orchestration by Azure devops or similar tools
Mar 21, 2025;
from:
dice.com