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Locations

Bengaluru (Bangalore)

Experience

4 - 8 years

Salary

INR 20L - 30L

Skills

Data Science
Python
Hadoop
Elastic Search
Machine Learning (ML)
Big Data
Spark
Algorithms

Job description

## Responsibilities * Exp 4~8 years * Design and build the initial version of the off-line product by using Machine Learning to recommend video contents to 1M+ User Profiles. * Design personalized recommendation algorithm and optimize the model * Develop the feature of the recommendation system * Analyze user behavior, build up user portrait and tag system ## Desired Skills and Experience * B.S./M.S. degree in computer science, mathematics, statistics or a similar quantitative field with good college background * 3+ years of work experience in relevant field (Data Engineer, R&D engineer, etc) * Experience in Machine Learning and Prediction & Recommendation techniques * Experience with Hadoop/MapReduce/Elastic-Stack/ELK and Big Data querying tools, such as Pig, Hive, and Impala * Proficiency in a major programming language (e.g. C/C++/Scala) and/or a scripting language (Python/R) * Experience with one or more NoSQL databases, such as MongoDB, Cassandra, HBase, Hive, Vertica, Elastic Search * Experience with cloud solutions/AWS, strong knowledge in Linux and Apache * Experience with any map-reduce SPARK/EMR * Experience in building reports and/or data visualization * Strong communication skills and ability to discuss the product with PMs and business owners

About the company

*Clipjoy* is a concept which the user can watch many short videos with funny or interesting story generated by Indian Video bloggers, story amateur, and movie studios, mostly is within 3 mins, enjoy them at anytime and anywhere based on our AI push and recommend. *Clipjoy’*s innovating and simplifying how people connect and interact with each other in the intelligent mobile phones. Nowadays, as the rapid growth of the 4G network, which will be a great help of coming out diverse interaction on social connection. We believe short videos will be the leading trend in the future and it will lead to be a new way for socialism relationship between the v-bloggers and users. Compared to Facebook and Youtube, Facebook is kind of socialism apps with the content shared by your friends and Youtube is more focus on Tv drama, movies, talk show and music videos, user need a more specific product on less-time, interesting videos so that we came out the idea. By using LBS, big data, AI recommendation, we will provide the user the most content based on their interest. We are trying to build up the next generation interactive social model based on mobile intelligence. The same idea was also called out as one of the best video social apps in China with actively used by 100 million+ users.

Founded

2017

Type

Product

Size

1-5 employees

Stage

Raised funding
View company

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