ML Ops Engineer Jobs in Austin, TX

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ML Ops Engineer

GTSS Inc

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Austin, Texas, USA

Contract

Job Summary For this role, we are looking for ML Ops Engineer with Kubernetes and Python. Experience Required: 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS Qualifications: Experience working with cloud computing and database systems Experience building custom integrations between cloud-based systems using APIs Experience developing and maintaining ML systems built with open-source tools Experience with MLOps Frameworks like Kubeflow, MLFlow, Data
Easy Apply
Posted 3 days ago

Senior Machine Learning Operations Engineer

CVS Health

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Remote or Irving, Texas, USA

Full-time

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all w
Posted 46 days ago | Updated 6 hours ago

MLOps Engineer || Austin, TX OR Sunnyvale, CA || 100% Onsite || Fulltime

Business Integra

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Austin, Texas, USA

Full-time

Title: MLOps Engineer Location: Austin, TX OR Sunnyvale, CA (ONSITE 100%) Type: FTE/ FTC Job Summary For this role, we are looking for ML Ops Engineer with Kubernetes and Python. Experience Required: 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS Technical skills: Python, Kubernetes, Mongo DB, Microservices, AWSSOLRML operations, CI/CD pipelines, LLMGood understanding of Apache SOLRProficient with Linux administration.Knowledge of ML models and
Easy Apply
Posted 2 days ago

Machine Learning Operations Manager

Oscar Technology

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Austin, Texas, USA

Full-time

I'm working with a mission-driven tech company focused on building secure, scalable systems that power AI platforms and complex data pipelines used globally. Their work supports high-impact public safety efforts and advances digital trust through advanced machine learning and infrastructure design. They're currently seeking a MLOps Manager to lead a growing team responsible for infrastructure operations across AI/ML platforms, observability stacks, and compliance-critical systems. No C2C/3rd par