CogniTensor Technology Private Limited jobs - Data Science Video/Voice Analytics

Data Science Video/Voice Analytics

CogniTensor Technology Private Limited
location
Delhi(Delhi-Others)
experience Fresher
salary Salary not disclosed
qualification
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Posted: 1 Month ago
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Job Description

Selected intern's day-to-day responsibilities include: 

1. Building systems and algorithms to extract knowledge, finding patterns, generating insights and making predictions from diverse data for various applications and visualization
2. Working on various modeling algorithms, data mining tools, data analysis tools, and statistical packages
3. Applying predictive modeling techniques (model training, logistic regression, etc.) statistics and information retrieval methods to real-world data
4. Working on machine learning and statistical methods
5. Working on AI/ML techniques in the video domain
Skill(s) required
  • OpenCV
  • Python
  • Statistical Modeling
  • 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 17th Sep'20 and 22nd Oct'20

    3. are available for duration of 6 months

    4. have relevant skills and interests

    Other requirements

    1. Familiarity with image/video processing algorithms such as CNN, R-CNN, object detection algorithms, OpenCV, neural networks, etc.

    2. Ability to work independently and in a team to research innovative solutions to challenging business problems

    Perks
  • Certificate
  • Job offer
  • Number of openings: 2

    Certificate: Will be provided at the end of the Internship



    VIEW MORE

    Job Particulars

    Job TypeApprenticeship
    Hiring Process Face to Face Interview

    About Company

    We are at the forefront of implementing ML-driven solutions and combining intelligent decision-making algorithms. Our products have been built using the best algorithms combining advanced data mining techniques. Our approach includes the algorithms in detecting known and unknown with high accuracy, fewer training times, large datasets, and frequent re-tuning. We strive to become the platform of choice for aspiring developers and users of AI.
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