Mobile App Development Internship

Location(s): Ahmedabad
Category: IT & Computers
Applications Start Date: 04 Oct. 2018
Degrees: B.E. / B.Tech
Stipend: 5K - 10K
Duration: 120 days
Last Date To Apply: 31 Oct. 2018
Mode of Interview: Telephonic Interview
Available Slots: 2

Intern Responsibilities

At DataOne Innovation Labs (Ahmedabad), Interns are expected to be professionally well-versed with basic ethics, which includes arriving on time (as specified by the company), notifying the team leader of any deviations from the established schedule, and dressing to the standards of the organization and the work being performed. Respect the organization’s reporting structure and follow the policies and procedures of the organization.

During the internship tenure, intern will be working on following verticals (in group or individually):

1. Own the product development from scratch.
2. Architect scalable, distributed and large-scale mobile solutions from scratch .
3. Optimize applications for maximum speed and scalability.
4. Build structure, reusable code, and libraries for future use.
5. Work with a. variety of developer tools across the spectrum of the software development lifecycle.

Perks and Benefits

Experience Letter

Internship Certificate

Program Outcomes

Additional Instructions

1. Selected candidates for Mobile App Development at DataOne Innovation Labs will require to bring supporting documentation which includes all the marksheets, updated resume, certificates, recommendations letter (if any), etc.
2. Candidates currently pursuing their graduation or recent graduates can apply to this internship.

About Company

DataOne was founded in March 2016 by alumni of DA-IICT and IIT Guwahati. With correct mixture of experience and enthusiasm, DataOne aims to build disruptive data analytics platform to deliver business intelligence using tools and technologies like machine learning, natural language processing, artificial intelligence, cloud computing, and big data processing. They are currently working on various use cases including industrial IoT, retail sales, social media analytics, and logistics.

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