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Deep Learning & Machine Vision Internship in Gurgaon at Parkzap Labs

Deep Learning & Machine Vision

Parkzap Labs

Gurgaon

Start Date Duration Stipend Posted On Apply By
Immediately
5 Months 10000-15000 /month 19 Feb'20 9 Apr'20
The hiring for this internship will be online and the company will provide work from home/ deferred joining till current COVID-19 situation improves
Internship
With job offer
Internship with job offer
About Parkzap Labs (https://www.parkzap.com)
Parkzap is a funded startup, rethinking the way people pay their parking tickets. We provide technology solutions to enable electronic ticket collection of parking and highway toll fares using smartphones and image-recognition.
About the internship
Selected intern's day-to-day responsibilities include:

1. Develop ML models for vision intelligence
2. Improve existing ML layers and modules
3. Build data pipelines (knowledge of backend programming in Python is required)
4. Build frontend and backend applications as required
5. Train models using Adversarial networks
6. Optimize software settings to run models at maximum inference speed
7. Work on video pipelines and manipulate frames using OpenCV
# of Internships available: 2
Skill(s) required OpenCV, Python (Learn Python), Django, Machine Learning, C Programming (Learn C Programming), C++ Programming (Learn C++ Programming), React Native and Deep Learning
Who can apply
Only those candidates can apply who:
  1. are available for full time (in-office) internship
  2. can start the internship between 17th Feb'20 and 26th Mar'20
  3. are available for duration of 5 months
  4. have relevant skills and interests
** Women willing to start/restart their career can also apply.
Other requirements
  1. Candidates with previous practical experience on any the ML frameworks like TensorFlow, PyTorch, etc. shall apply
  2. Candidates who do not have any prior experience in ML/AI but have demonstrated exceptional skills in backend/frontend development will also be given equal preference
  3. Candidates with previous practical experience in deep-learning and developing full-stack web-apps would be preferred
Perks
Certificate, Letter of recommendation, Flexible work hours, Informal dress code, Job offer.

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