Web Development work from home job/internship at Analytiks AI
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Web Development
Start Date
Starts immediatelyImmediately
6 Months
20000 /month
Apply By
29 Oct' 20
About Analytiks AI
We are building Google Analytics for the offline world and physical space. We want to help retailers, restaurants, malls, airports, schools, and office buildings to understand how people move inside for them to make better decisions. We are doing so with the help of wifi, Bluetooth, and cameras.

Our three core products are:

Analytiks Konnect: A simple captive portal for guest wifi.
Analytiks Live: A real-time occupancy monitoring solution based on cameras.
Analytiks Trends: we use both cameras and WiFi to determine the returning rate, time spent in the store, activity by zone in the store, etc.
About the work from home job/internship
Selected intern's day-to-day responsibilities include:

1. Building an MVP for new products from scratch with fellow interns (most experienced)
2. Working on helping and supporting our developers on frontend projects as well as building some tools to make deployments faster (less experienced)

Note: Applicants with experience in big data/data science will work on the most advanced features of the analytics platform and help built features such as the most common path, also the above mentioned day-to-day duties depend on upon the skills of the candidates.
Skill(s) required
JavaScript Data Analytics Computer Vision Data Science Amazon Web Services (AWS) ReactJS
Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 14th Oct'20 and 18th Nov'20

3. are available for duration of 6 months

4. have relevant skills and interests

Other requirements

1. Must have a fast and stable internet connection to be able to download/upload large files as well as participating in video conference calls

2. Must have experience in frontend and/or backend development (Node.js and ReactJS)

3. Must have DevOps experience (AWS)

4. Must have experience in data science/big data and computer vision

Letter of recommendation Flexible work hours
Number of openings

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