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Deep Learning (Computer Vision) Jobs in Delhi - Beadcore Infotech Private Limited

Deep Learning Computer Vision

Beadcore Infotech Private Limited
experience-icon 0 Years
salary-icon Not disclosed
qualification-icon BE/B.Tech, Other Course
Expired

Posted: 20 Apr 21

Job Description

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

1. Work with SMEs and other experts in areas like deep learning and computer vision to develop a TensorFlow course to be launched by the company
2. Write on interesting topics of CV/DL utilizing the knowledge and expertise gathered through various projects
3. Contribute and leverage open-source technology
4. Perform a lot of experimentation and rapid prototyping
5. Write technical blogs on assigned topics
Skill(s) required
  • Python
  • Machine Learning
  • Computer Vision
  • Deep Learning
  • Artifical Intelligence
  • Learn these skills on Internshala Trainings
    Who can apply

    Only those candidates can apply who:

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

    2. can start the internship between 14th Apr'21 and 19th May'21

    3. are available for duration of 6 months

    4. are from Delhi, Ghaziabad, Noida and neighboring cities

    5. have relevant skills and interests

    Perks
  • Certificate
  • 5 days a week
  • Free snacks & beverages
  • Number of openings
    1

    Certificate: Will be provided at the end of the Internship

    Job Particulars

    Education BE/B.Tech, Other Course
    Who can apply Freshers
    Hiring Process Face to Face Interview
    Employment TypeInternship / Projects
    Job Id1185652
    Job Category IT/Software
    Locality Address
    State Delhi
    Country India

    About Company

    About Beadcore Infotech Private Limited
    Beadcore Infotech is an artificial intelligence-based smart video analytics company providing the widest and most-deployed range of video analytics available for smart cameras and CCTV, powering the IoT revolution in smart homes/buildings, smart security, smart city, etc.
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