Vidooly Data Science Internship 2020 :
About Vidooly :
Vidooly is an online video analytics company based in India. It was launched in November 2014 and currently, more than 50,000 online video creators, 50 multi-channel networks, 50+ multi-platforms, and 20 brands/agencies use its dashboards on a daily basis. Our vision is to build technology that tracks and analyzes every video, everywhere on the planet to make sense of business for content creators, brands & media buyers and at the same time creating a universal video data repository which can be accessed by our customers for better media planning, advertisement & strategies.
Job Profile : Data Science Intern
Experience : Freshers
Duration : 3 Months
About the Internship:
Selected intern’s day-to-day responsibilities include:
1. Handling data mining for structured and unstructured data
2. Building and evaluating models for machine/deep learning
3. Working on image/object recognition/detection using deep learning
4. Working on text analysis using natural language processing
5. Handling data set creation/data collection
6. Working on image labeling
7. Working on manual lagging
8. Testing APIs
9. Coding on various programming languages (if required)
Skill(s) required: Python , SQL and Machine Learning
Who can apply:
Only those candidates can apply who:
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- are available for full time (in-office) internship
- an start the internship between 28th Aug’20 and 2nd Oct’20
- are available for duration of 3 months
- have relevant skills and interests
Requirements :
- Must have a BS in computer science, software engineering, statistics, calculus, and algebra or a related course
- Must be good at Python and its frameworks (such as NumPy, Pandas, Matplotlib, or Scikit) or R
- Must have proficiency in using SQL and knowledge of database architecture
- Must have deep knowledge of machine learning, deep learning (convolutional networks, recurrent networks such as LSTM, GRU, etc.), computer vision, and NLP
- Must have experience with the data mining and statistical tools and algorithms
- Must have knowledge of big data, cloud computing technologies, distributed systems, recommendation systems, and pattern recognition
- Must have used at least one deep learning library (TensorFlow, Caffe, Theano, Torch, etc.)
- Must have a data structure and algorithm expertise
- Must have good Kaggle/GitHub/Stack Overflow profile/projects
Apply Link: Click Here