Scalable ML Deployment Specialist

4 days ago


San Francisco, California, United States ZipRecruiter Full time
About the Role

We are seeking an experienced Machine Learning Systems Engineer to join our team. As an ML Systems Engineer at Abridge, you will be responsible for scaling and deploying machine learning models to handle increasing traffic demands and integrating them with various platforms.

  • Architect, design, and implement ML software systems for deploying and managing models at scale.
  • Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases.
  • Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale.
  • Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena.

You will play a pivotal role in building a scalable infrastructure that not only supports current deployments but also lays the foundation for long-term growth. Your role will be critical in ensuring our AI-driven healthcare platform is powered by robust, scalable, and efficiently deployed models.



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