Job Description Be our next Hero! - Join the world’s leading local delivery platform. We are looking for a Senior Machine Learning Engineer - Vendor Data (all genders) to join the Vendor Data tribe in our mission to deliver consistently amazing experiences. As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact. The Vendor Data tribe’s mission is to drive innovation, insight-driven decision making and to solve business problems through a culture of excellence and openness. The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions covering a host of business opportunities across all of Delivery Hero’s 70 markets. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. We are looking for a talented and motivated Senior Machine Learning Engineer (all genders) to work with best-in-class data science and AI models to drive our fundamental shift to machine learning in the Vendor vertical at Delivery Hero. You will be working with a team of ML Engineers and Data Scientists deploying advanced ML services to solve complex problems, delivering revenue for Delivery Hero at the frontline of our profitability journey. If you're a builder in machine learning who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin! Your mission: Drive the design, build and maintain large-scale machine learning systems, ensuring they align with the Vendor strategic product goals, while optimising for performance and efficiency Architect scalable, reliable, and cost-efficient ML infrastructure to manage the entire ML lifecycle at scale. Set and uphold best practices for productionising ML, including monitoring, testing, reproducibility, and responsible AI practices. Collaborate with product, engineering, analysts, and data science teams to understand their needs and build solutions that optimise their workflows. Leverage cloud technologies to build reliable, efficient and robust systems for multiple teams. Influence by proactively suggesting how to leverage new technologies to support multiple downstream use cases. Raise the technical bar and foster a culture of excellence in ML engineering. Stay ahead of industry and academic trends, evaluating and introducing emerging technologies and methodologies that can shape Delivery Hero’s future ML capabilities.