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Internship Details

About Internship:

We are seeking an Application Developer
Strong knowledge and experience in scripting language Python
Strong fundamentals in software engineering and concepts such as design patterns, test-driven development, build systems and automation in the continuous delivery space
Strong knowledge of the entire web stack and how each piece impacts performance and reliability
Strong understanding of client side development

Roles and Responsibilities:

Design, build, and maintain APIs, services, and systems
Debug production issues across services and multiple levels of the stack
Work with engineers across the company to build new features at large-scale
Improve engineering standards, tooling, and processes
Strong knowledge and experience in scripting language Python

Perks:

1. Accommodation will be provided to outstation candidates

No. of Positions

5

Application Deadline

Apply by: 3rd Mar `18

Stipend

Rs. 35000-40000

About Company

At Innovaccer, we dream of a different future, a future where machines will talk, a future where organizations will be organisms, and a future where life will be different - we will need a fundamentally easy way to embrace Big Data, we need the will, the vision, the leadership, and flamboyance to make Big Data accessible for everyone. We started as a big data company, however in the last 12 months, we have embarked on an exciting journey to build next-generation of data and AI driven products and platforms for the healthcare industry specifically. We are building tools that will enable physicians and hospitals to be more efficient, while making data-driven decisions to improve patient health. By doing so, we hope to save millions of lives in the future and make this planet a healthier planet.


We started as a big data company, however in the last 12 months, we have embarked on an exciting journey to build next-generation of data and AI driven products and platforms for the healthcare industry specifically. We are building tools that will enable physicians and hospitals to be more efficient, while making data-driven decisions to improve patient health. By doing so, we hope to save millions of lives in the future and make this planet a healthier planet.

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