Design, build, and maintain backend services for deploying and serving ML models in production
Develop high-performance APIs and services in Java with Python components
Deploy and operate services on AWS using ECS, SageMaker, or EC2 with Kubernetes
Enable real-time low-latency and batch inference workflows
Ensure service reliability, scalability, and performance in production
Implement and maintain CI/CD pipelines and deployment automation

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