Artificial Intelligence Intern Fresher Jobs In Hyderabad, PayZello
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PayZello

Artificial Intelligence Intern

PayZello

0 - 0 Years   |   1.8 - 1.8 LPA   |   Hyderabad
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Job Description

About The Company :
Payzello is India’s first ever Smart Bank challenging the very definition of Banking in India. With our comprehensive features and services ranging from a single Virtual Card for both Debit and Credit to App based Credit to Money Transfer and Request Mechanism, end to end Expense Management, Bharat QR to three minutes E – KYC Process and much more in a single click(and of course zero paperwork), we are here to ensure you never have to walk into a physical Bank ever again. And that’s just the tip of the iceberg, we are much more than what meets the eye!

Website: www.payzello.com

Job Location: Hyderabad

Desired experience: Freshers

Course Specialization: Any Graduate

Target Batch Passout: 2016-2017

Training/Probation Period: 2 months Training

Salary: During Training - 8000/- Stipend
            After Training - INR 1.8 LPA (The final CTC will depend upon candidates’ performance during the interview and will be at the company’s discretion)

Bond: None

Tentative date of Joining: Immediate

Tenative date of interview: Will be communicated post registration window is closed

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Last Date to Apply: 18 August 2017

Job Description and Skill Set Required:

- Lookup for Solutions and build Models based on Deep Learning for extracting text from image which works independent of position of text in the image.
- Bring up conventional techniques that are used under Computer Vision to extract text from image using Libraries like OpenCv.
- Signature Analysis - Developing a Model to analyse Emotion, Reliability, Honesty and other Behavioural Values from a Signature captured in image format.
- The Model can be based on Convolutional Neural Networks or any other relevant architecture.

Competencies:

- Convolutional Neural Networks(CNN), Python, Tensorflow, Image Vector Embeddings, Object Detection in image.
- Python libraries like OpenCv, Dlib, Image Processing Techniques, Object Detection in image.
- Image Processing and Enhancing Techniques, Image Keypoint Landmarking, Object Detection in image.


Interview Process:
- Face to Face Round


Education:

B.Com., B.Sc., B.Tech/B.E., BBA, BCA

Work Experience:

0 - 0 Years

Salary

1.8 - 1.8 LPA

Industry

IT

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