MLOps Engineer Platform Design and Implementation Framework
Design and implement a comprehensive MLOps platform and operational framework covering the complete lifecycle from data ingestion to model deployment and monitoring. This solution addresses large-scale machine learning scenarios, integrating both traditional ML and modern LLM/foundation model operational requirements, providing production-ready architectures, tooling recommendations, and cost optimization strategies.