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iOS App Development Internship

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iOS App Development

Sciffer Analytics Private Limited

Pune

Start Date

Starts immediatelyImmediately

Duration

3 Months

Stipend

₹ 10,000 /month

APPLY BY

18 Dec' 22

24 applicants

About the internship

Selected intern's day-to-day responsibilities include:

1. Design and build applications for iOS platform
2. Write clean and maintainable code
3. Work on bug fixing and improving application performance
4. Discover, evaluate and implement new technologies to maximize development efficiency
5. Maintain quality and ensure responsiveness of applications
6. Collaborate with cross-functional teams to define, design and ship new features
7. Stay up-to-date with new mobile technology trends, applications and protocols

Requirements:

1. Knowledge of Apple s design principles and application interface guidelines
2. Strong knowledge of Swift, JSON, UIKit, Xcode IDE, CoreData, CoreAnimation
3. Good understanding of the full mobile development life cycle
4. Familiarity with RESTful APIs and push notifications
5. Proficient understanding of code versioning tools, such as Git

Earn certifications in these skills

Learn Android App Development

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 3rd Dec'22 and 7th Jan'23

3. are available for duration of 3 months

4. have relevant skills and interests

Perks

Certificate Letter of recommendation Flexible work hours

Number of openings

About Sciffer Analytics Private Limited

Website

In a short span of about a year, we have grown to a team of 100 enterprising individuals. Our development center is based in Baner, Pune. Sciffer Analytics Private Limited is an IIT-IIM start-up in the analytics domain. Its three main verticals are optimization, predictive modeling, and business intelligence. Sciffer is currently working with some of the largest television channels in India and the USA.

A few of the products Sciffer is working on are optimizers and schedulers for television/digital content, promos and commercial ads, and predictive models for audience viewership measurement.

Activity on Internshala

Hiring since October 2022

17 opportunities posted