Prakshep Private Limited jobs - Python Django Development

Python Django Development

Prakshep Private Limited
experience Fresher
salary Salary not disclosed
qualification
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Posted: 3 Years ago
Views: 3
Applications: 3
Openings: 3

Job Description


About the internship
Selected intern's day-to-day responsibilities include:

1. Writing reusable, testable, and efficient code
2. Designing and implementing low-latency, high-availability, and performance efficient applications
3. Integrating user-facing elements developed by front-end developers with server-side logic
4. Implementing security and data protection
5. Integrating data storage solutions
Skill(s) required
  • MySQL
  • HTML
  • CSS
  • JavaScript
  • Python
  • MongoDB
  • Django
  • Node.js
  • NoSQL
  • GitHub
  • REST API

  • Who can apply

    Only those candidates can apply who:

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

    2. can start the internship between 8th Jan'21 and 12th Feb'21

    3. are available for duration of 6 months

    4. have relevant skills and interests

    * Women wanting to start/restart their career can also apply.

    Perks
  • Certificate
  • Letter of recommendation
  • Flexible work hours
  • Job offer
  • Number of openings
    3

    Certificate: Will be provided at the end of the Internship


    Job Particulars

    Who can applyFreshers
    Hiring Process Face to Face Interview
    Employment TypeInternship / Projects
    Job Id514480
    Job Category IT/Software
    StateKarnataka
    Country India

    About Company

    Prakshep Private Limited


    Prakshep is a tech infrastructure company for agribusinesses. From large enterprises to startups, businesses of all sizes use Prakshep deep learning APIs to monitor farms, machines, and people. We utilize a network of satellites, sensors, drones, people, vehicles, IoT, etc. to provide the most accurate & comprehensive data at scale in real-time & take data-driven actions. We are aiming to automate the agriculture process, since inception we have been working closely with farmers to build a series of neural networks to automate tedious activities like farm surveying geofencing, route planning, zoning, acre base billing, etc.
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