20 Qure.ai Jobs

- 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 : Associate AI Scientist

Department : Research & Development

Location : Bengaluru

Years of Experience : 0-2 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.

- 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.