What youll do:

• Design and develop scalable machine learning infrastructure to ensure high throughput and low latency.
• Serve ML models to applications, focusing on accessibility, scalability, and security.
• Manage model versions and implement rollback mechanisms when necessary.
• Use monitoring tools to track platform performance and address issues like concept and data drift.
• Develop, test, deploy, and maintain data and model training pipelines, integrating seamlessly with other systems.
• Continuously optimize the ML serving system for efficiency, reliability, and speed, staying current with industry trends.
• Collaborate with ML engineers to deploy production-grade models, with opportunities for technical leadership based on your skills and experience.