At mobile.de, we continuously strive to provide our users with a better, faster and a unique search experience. Machine learning and Python play a key role in providing this experience. Every day, millions of people visit mobile.de to find their dream car. The user journey typically starts by entering a search query and later refining it based on their requirements. If the user finds a relevant listing, they contact the seller to purchase the vehicle. Our search engine is responsible for matching users with the right sellers. In this talk, I will talk about: - Introduction - Why search is important - How learning to rank helps ? - Current challenges with our ranking models - Proposed solution - How do we deploy our ranking models ? (Under strict latency SLA less than 30ms) - AB Test results - Key Learnings - How can we improve further --- This session is sponsored by mobile.de