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MLOps Engineer / Architect
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Full-time
- Design, implement, and operate a framework for Machine Learning Operations (MLOps) on AWS cloud
- Build MLOps pipelines orchestration on Amazon SageMaker and/or on-prem (RHEL) leveraging corporate DevOps tools and OpenShift Container Platform (OCP)
- Build and integrate AML Modeling platform into the FRAML (Fraud Detection and Anti-Money Laundering) ecosystem, and design and implement CI-CD practices across the model and application ecosystem
- Design, develop, integrate, and deploy tools for Data Science and ML Research, such as Model Monitoring, Model Governance, Model Deployment, Data Management, and Feature Engineering
- Relevant AWS/Cloud Computing/ML certifications
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