MLOps Engineer with experience designing, deploying, automating, and monitoring machine learning solutions in production environments.
Skilled in bridging the gap between Data Science, Machine Learning, and DevOps by building scalable MLOps pipelines, implementing CI/CD processes, managing model lifecycle operations, and ensuring reliable model performance.
Proficient in Python, MLflow, Docker, Kubernetes, cloud platforms, and machine learning deployment frameworks.
Experienced in developing secure, automated, and scalable infrastructure that enables efficient delivery of AI and machine learning solutions.
Role Descriptions: ML Engineer
Skills: Digital : Machine Learning Experience Required: 8-10
Numbers & Facts
Location
Cincinnati, OH
Skills
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Scienceunmatched
DevOpsunmatched
Dockerunmatched
Machine Learningunmatched
Operations Managementunmatched
Performance Modelingunmatched
Process Modelingunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Scalable System Developmentunmatched
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