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 MLMs. Rachita will share real-world use cases that they have encountered at Lyft encounter, and how they go about handling vast amounts of data, ensuring model accuracy and reliability, and maintaining performance in a dynamic production environment.

Key Takeaways:

• Understanding the challenges involved in scaling ML models in a large tech company.
• Practical tips for managing and preparing data.
• Best practices for developing, deploying and maintaining ML models.