Job Location: Mumbai

Selected intern’s day-to-day responsibilities include:

1. Deploy algorithms and AI models trained to interpret and analyze medical images and other healthcare data using Qure.ai’s petabyte-scale datasets
2. Create, maintain and deploy web-scale and highly reliable engineering platforms for AI models architect and execute clinical workflows which impact the real patients
3. Develop tools to ensure reliable deployments across hybrid computing platforms both cloud and edge
4. Work on systems engineering by writing OS level systems for healthcare protocols and AI-complete
5. Optimize deep learning models for deployment across platforms like cloud, on-premise, and IoT
6. Contribute to the engineering expertise by keeping up to date with the latest advances in AI engineering and web-scale engineering
7. Write blog posts on innovative engineering ideas and contribute to opensource technologies

Qure.ai | Hiring | AI Engineering Internship | BigDataKB.com | 1/21/2022

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