AI Engineer for Healthcare project (вакансія неактивна)

• Serverless Machine Learning with Tensorflow
• Building Resilient Streaming Systems
• Experience with AutoML
• Experience with Google Cloud Platform

• Google Healthcare API

• Close cooperation with development team;
• Dynamic and challenging tasks;
• Flexible working hours, remote work opportunity;
• Professional growth.

• Development of new functionality;
• Participation in daily/planning/demo sessions with the team;
• Brainstorming solutions for challenging tasks.

HOURLY RATE | REMOTE WORK | LONG TERM.

Healthcare project for existing clinical systems, that enables new entrants to easily integrate with care networks. Integration with DiCom and HL7 API.

We develop a machine learning platform for radiology as a cloud-based “digital assistant” that works with Google technologies.
Our aim is to release a proprietary diagnostic radiology tool that’s based in the cloud. A digital assistant platform that will assist physicians when they are making treatment decisions. The digital assistant platform will be fully integrated with Google’s artificial intelligence and machine learning technologies; it will feature integration with Google Voice, Google Cloud Speech-to-Text, and DeepMind for Google technologies.
The intent of the platform’s design is to remove the current “conveyor belt workflow” commonly found among healthcare systems today.
Leveraging the power and agility of Google Cloud, the digital assistant platform accesses patient and clinical information that has traditionally been unavailable to the physician at the time of treatment.
We combined Google’s ML and AI technologies with its proprietary, self-learning clinical algorithms to support the platform’s patient evaluation and assessment capabilities.
The digital assistant then performs a variety of specific tasks on behalf of the physician.