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AI Scientist

Job Description - AI Scientist

About Qure.AI:

Qure.AI is one of the fastest-growing startups in India, which develops Artificial

Intelligence enabled products and platforms for healthcare diagnostics. We create

cutting-edge solutions that positively impact patients' lives in various care domains,

including lung cancer, tuberculosis, and stroke. To date, our innovative

technologies have reached over 16 million individuals across 80+ countries

worldwide. Qure.ai is an equal-opportunity employer.



About the job

Job Title: AI Scientist

Department: Research & Development

Location: Bengaluru

Years of Experience: 1-4 Years

Employment Type: Full-time, Permanent


Key Relationships

VP – Data Science



Job Description

The Associate AI Scientist will be involved in the research and development for

various fundamental algorithms to analyze and interpret healthcare data. Work

with the team of AI scientists to design the algorithm, implement, customize, and

fine-tune for application into products.


Roles and Responsibilities

Optimize deep learning models for deployment across platforms - cloud, on-

premises and IoT.

Apply scientific rigor to create analytical and clinical evidence of the

performance of existing and new algorithms.

Assist in AI Deployment, optimization, maintenance and testing of algorithm

modules for real applications.

Involve in the submission of papers.

Ideate and develop novel technical advances at the intersection of AI and

healthcare.

File patents for innovative ideas & solutions.

Demonstrate algorithms to meet accuracy requirements through statistical

analyses and error estimation.

Contribute to the AI expertise by keeping up to date with the latest advances

in the field of computer vision, natural language processing and deep

learning.

Create and execute novel synthetic and non-synthetic data acquisition

protocols to solve problems in health care with AI.



Skills and Expertise

PhD/MS/bachelor’s degree in Mathematics, Computer Vision, Computer

Science.

 1-4 Years of Experience and excellent skills in Machine Learning and Deep

Learning.

Broader domain of statistics will be an advantage.

Implementation experience with a variety of high-level languages.

Detail-oriented, eager to learn, acquire new skills.



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