About the Role
MLOps Platform Engineer
The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations capabilities. This role will play a key part in enabling scalable, reliable, and secure ML model development and deployment across our cloud and container platforms.
This is a hands-on engineering role requiring strong expertise in AWS, Kubernetes (EKS), CI/CD automation, containerization, and ML platform operations. The ideal candidate will have solid engineering fundamentals combined with practical knowledge of ML workflows, deployment patterns, and platform reliability.
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Key Responsibilities
Platform Engineering & Operations
Engineer, manage, and support MLOps platform components across AWS and EKS-based environments.
Oversee deployment, configuration, and operation of infrastructure used for ML training, batch infe...
The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations capabilities. This role will play a key part in enabling scalable, reliable, and secure ML model development and deployment across our cloud and container platforms.
This is a hands-on engineering role requiring strong expertise in AWS, Kubernetes (EKS), CI/CD automation, containerization, and ML platform operations. The ideal candidate will have solid engineering fundamentals combined with practical knowledge of ML workflows, deployment patterns, and platform reliability.
---
Key Responsibilities
Platform Engineering & Operations
Engineer, manage, and support MLOps platform components across AWS and EKS-based environments.
Oversee deployment, configuration, and operation of infrastructure used for ML training, batch infe...
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