Mlops jobs in Chicago

Job Description Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models. The ML/Ops Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated and repeatable way. We are a company committed to creating div

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. We are seeking a *Staff AI / MLOps Engineer**

CCC Intelligent Solutions

***Pay Rate/Hourly Range:**** The hourly range is $20.00 - $43.00 per hour. Pay is based on factors including school year, program of study, role responsibilities, etc. CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy *,** creating inte

DSM-H Consulting

Position's Contributions to Work Group: The MLOps Platform Team works within the Enterprise Data and Analytics Organization at Client Driving the ability to work with Internal Teams to be able to support the full lifecycle of AI and machine learning development through to beyond production. Helping

*Looking for 8+ years of exp as a “Senior MLOps Engineer”** **5+ years of experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)** **Experience with MLOps frameworks like MLflow, Kubeflow, etc.** **Proficiency in programming (Python, R, SQL)** **Ability to

Diversified Services Network, Inc.

Diversified Services Network, Inc. (DSN) is seeking a full-time Senior MLOps Engineer to join our team in Chicago, IL We offer a hybrid work model, full benefits, PTO, 401k, and more If you're looking to grow your technical career within an extremely reputable, stable Fortune 500 company - let's tal

DSM-H Consulting

Position's Contributions to Work Group: The MLOps Platform Team works within the Enterprise Data and Analytics Organization at Client Driving the ability to work with Internal Teams to be able to support the full lifecycle of AI and machine learning development through to beyond production. Helping