As Machine Learning Engineer at Lyft, I wish to delve into the intricacies of developing and deploying machine learning models at scale within a large tech company. This session will provide an in-depth look at the unique challenges we face, from data management and model training to deployment and monitoring. I will share real-world use cases we encounter, and how we go about handling vast amounts of data, ensuring model accuracy and reliability, and maintaining performance in a dynamic production environment.