AI/ML Infrastructure Engineer

About The Opportunity

About the job

The team is dedicated to developing a robust platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.

Responsibilities

• Contribute to the client's ML Platform SDK and build tools for various ML operations.
• Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements.
• Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skillsets.
• Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and nec...