Lead the design and architecture of backend services that power real-time model inference and bidding decisions for our OpenRTB platform. Collaborate with data scientists and machine learning engineers to deploy, monitor, and optimize ML models that influence real-time bidding strategies, pricing decisions, and targeting. Oversee the development of A/B testing frameworks and ensure the seamless integration of experimentation tools into our platform for continuous model and bidding optimization. Ensure backend services are high-performance, low-latency, and scalable, capable of handling large data volumes.
Optimize performance and cost-efficiency across the backend infrastructure, ensuring that the system can scale effectively with increasing traffic and data. Continuously monitor the systemโs performance, perform post-deployment analysis, and make improvements based on real-world usage and A/B test results.