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Computer Vision Jobs in Bangalore - Inferigence Quotient LLP

Computer Vision

Inferigence Quotient LLP
experience-icon 0 Years
salary-icon Not disclosed
Expired

Posted: 29 Jul 20

Job Description


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

1. Work on end-to-end system development based on CNN; data preparation and annotation, training, testing, verification, documentation
2. Work on end-to-end system development based on computer vision; study of different methods, implementation, results in verification, debugging, documentation
3. Handle module and system-level testing
4. Work on implementation of hardware modules
Skill(s) required
  • OpenCV
  • Python
  • C++ Programming

  • Who can apply

    Only those candidates can apply who:

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

    2. can start the internship between 10th Jul'20 and 14th Aug'20

    3. are available for duration of 6 months

    4. have relevant skills and interests

    Perks
  • Certificate
  • Letter of recommendation
  • Informal dress code
  • Free snacks & beverages
  • Number of openings
    2

    Certificate: Will be provided at the end of the Internship

    Job Particulars

    Who can apply Freshers
    Hiring Process Face to Face Interview
    Employment TypeInternship / Projects
    Job Id969288
    Locality Address
    Country India

    About Company

    Inferigence Quotient LLP

    We are a startup developing state-of-the-art technology solutions in the areas of intelligent systems by combining knowledge and experience in the fields of imaging systems, signal processing, computer vision, information fusion, machine learning, sensor networks, and embedded real-time systems. Our core team consists of members with over 50 years of combined experience in computer vision, image & video processing, image fusion, information fusion, and imaging product design. Typical application areas include remote sensing and surveillance, ground and aerial robot systems, defense and homeland security, disaster management, law enforcement, and smart city management among others.
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