Data Science Video/Voice Analytics Jobs in Delhi - CogniTensor Technology Private Limited
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
Learn these skills on Internshala Trainings
Learn Python
Learn Statistical Modeling
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
Number of openings: 2
Certificate: Will be provided at the end of the Internship
Job Particulars
Role it software engineer
Education Diploma, B.Com, M.Com, BCA, BE/B.Tech, BSc, MCA, ME/M.Tech, MSc, PG Diploma, 12th Pass (HSE)
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1006425
Job Category IT/Software , Diploma
Locality Address Delhi-Others
State Delhi
Country India
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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