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Complex challenges that hotstar teams work on
1. 1Sneak peek into Engineering problems we are working on ..
Machine learning & Analytics - There's an almost overwhelming amount of data available today, and we are building the best models to
predict which signals are likely to have an impact and which aren't. With data at our core, our teams are working on platforms to automate
the generation, validation, and publishing of models that incorporate all available data to predict any measurable signal.
Recommendation Engine - In order to build an intuitive and customer centric system, it is critical for us to recommend the right content to
our users . Accessing, content consumption pattern data and making decisions across large numbers of potential responses in a matter of
milliseconds is a unique problem, and requires complex high scale engineering solutions. Our teams are passionately working towards a
highly scalable recommendation engine to serve the right content & feed relevant input to other similar platforms.
Advertisement - We are focused on serving the content and relevant geo-targeted advertisements on our platform in order to maximize
our advertising revenues. The engineering teams are focused on building a highly scalable and distributed system which is able to synthesis
billions of user records, provide a highly accurate demographic segmentation, predict preferences and thereby target appropriate
advertisements to users .
Personalization - Analyzing large volume of traffic in real time, batch, micro-batch to build user profile for their personal content serving is
an interesting problem to crack. Our team is working on building a scalable system as service to other platform such as
Recommendation/Advertisement/Notification system to make an informed decision.
If you looking to create history with all resources at your behest, this is the place to be!