Qure.AI is an equal opportunity employer. Qure.ai is a leading Healthcare Artificial Intelligence (AI) company disrupting the ‘status quo’ by enhancing diagnostic imaging and improving health outcomes with the assistance of machine-supported tools. Qure.ai taps deep learning technology to provide an automated interpretation of radiology exams like X-rays, and CT scans for time and resource-strapped medical imaging professionals, enabling faster diagnosis and speed to treatment. Qure.ai aims to democratize healthcare by improving accuracy, accessibility, and affordability to patients worldwide. Founded in 2016, we apply the latest AI research to healthcare problems and develop innovative solutions that are revolutionizing the way patients are diagnosed and treated. Our solutions have impacted more than 4 million lives annually, deployed in 90+ countries, and 3000+ sites globally. Qure.ai is an equal opportunity employer.

About the job

Job Title: AI Scientist Intern

Department: Research & Development

Location: Bengaluru

Years of Experience: 0 – 1 Year

Employment Type: Internship

Key Relationships

Vice President – Data Science

Job Description

The AI Scientist Intern will be involved in the research and development of various fundamental algorithms to analyze and interpret healthcare data. Work with a team of AI scientists to design the algorithm, implement, customize, and fine-tune for application into products. The key responsibilities of this role typically include the following:

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 & Expertise

• PhD/MS/bachelor’s degree in mathematics, Computer Vision, and Computer Science.

• 0 – 1 Years of Experience and excellent skills in Machine Learning and Deep Learning.

• A broader domain of statistics will be an advantage.

• Implementation experience with a variety of high-level languages.

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