Lead the integration of machine learning models into business-critical applications using GCP Vertex AI. Collaborate with data engineers, data scientists, software engineers, and product owners to ensure seamless model deployment and performance in production environments. Design and implement scalable, resilient, and secure model inference pipelines using Vertex AI, Vertex Pipelines, and related services. Enable continuous delivery and monitoring of models via Vertex AI Model Registry, Prediction Endpoints, and Model Monitoring features. Optimize model serving performance, cost, and throughput under high-load, real-time, and batch scenarios. Automate model lifecycle management including CI/CD pipelines, retraining, versioning, rollback, and shadow testing. Participate in architecture reviews and advocate best practices in ML model orchestration, resource tuning, and observability.