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Internship Details

About Internship:

If you have the passion for building data driven solutions and are excited by the challenge of moving algorithms on the frontier of machine learning and artificial intelligence, Relecura is the place for you. Join our engineering team to build and maintain our flagship product that works with terabytes of data to provide insights to many of the largest corporates in the world to arrive at faster and accurate business decisions. You should have strong analytical, problem-solving and synthesizing skills while understanding the scope and impact of your work.

What we are looking for
? Fresher / 0-1 years of work experience.
? Must have very good programming knowledge and willingness to learn.
? Basic understanding of technologies such as HTML, CSS, JavaScript, Jquery, Ajax,PHP, Codeigniter, and familiarity with SQL databases.
? Excellent knowledge of Web application development.
? Mastery of core computer science concepts, data structures and algorithms.
? Unix / Linux operating system knowledge.
? Ability to multi-task and stay organized in a dynamic environment.
? Experience with Scrum/Agile development methodologies.
? Excellent oral and written communication skills.

Roles and Responsibilities:

? Develop data-driven algorithms.
? Adapt commonly used machine learning algorithms to our specific problems and implement modified algorithms.
? Conceptualize, plan, design, develop, test, deploy and maintain modules without external assistance.
? Review and update legacy code.


1. Good performers will be rewarded with full time opportunities
2. Experience certificate

No. of Positions


Application Deadline

Apply by: 31st Oct `20


Rs. 12000-15000

About Company

Relecura is a full-stack cognitive cloud platform that provides custom intelligence and reports on patent portfolios, technologies and companies. It does this by capturing and organizing the knowledge from various document repositories (patents, scientific literature) and subject matter experts in a flexible and collaborative manner, into a knowledge-base. 

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