Cloud Architecture and Design to serve AI/ML Models 7 + years of experience spanning at least two IT disciplines, including technical architecture, network management, application development, middleware, database management JAVADevelop architecture blue print/solution design for AI/ML data pipeline and model training sandbox 3+ years of experience with AWS enterprise implementations including GPUs, Redshift, S3, EC2, Data Pipeline, & EMR Develop architecture blue print/Solutions to serve AI/ML models in real-time and evaluate architectural alternatives Hands-on experience in working with SPARK and handling terabyte size datasets Ensure delivered solutions meet/perform to technical and functional/non-functional requirements Strong understanding of Microservice Data Patterns, Event-Driven Architecture (EDA), Event Streaming - preferably Apache Kafka, Experimentation - Chaos Engineering, Fault Injection, FMEA Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability) Knowledge of all components of an technical architecture Demonstrate knowledge of MLOps tool chains and processes Contribute to MLOps development activities and development tasks Define optimal design patterns and solutions for high availability and disaster recovery for applications Demonstrate ability to back decisions with research and the why,and articulate several options, the pros and cons for each, and a recommendation