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Develop and deploy LLM-based solutions using Azure OpenAI, Google Gemini, and AWS Bedrock for production applications
Design and optimize high-volume batch processing pipelines (250K+ records) for ML inference and data transformation
Implement quality assurance frameworks for LLM outputs including validation, error detection, and cost optimization
Build serverless ML architectures using AWS Lambda, Fargate, and CDK (Infrastructure as Code)
Create ML APIs using FastAPI with authentication (Okta/JWT) and async processing patterns
Develop dashboards for ML model monitori...