Design, implement, and deploy scalable algorithms and models to utilize large amounts of data.
Utilize advanced data mining and machine learning to personalize the user experience.
Increase user engagement.
Improve core business metrics.
Deep understanding of development processes.
Personally contributed to at least one of critical product ship cycle.
Data processing for existing internal databases and external / public data sources.
Solid understanding of algorithms, data structures, object-oriented design, and user experience fundamentals.
Familiarity with full life cycle - designing, developing, deploying, and maintaining large-scale, highly available and dynamic systems.
Strong engineering & development skills in Java and backend technologies such as Spark, Redis, Kafka, Solr, Elastic Search etc.
Experience with cloud deployment platforms like AWS, AppEngine, or Heroku.
Familiarity with machine learning techniques and frameworks is a plus.
Strong verbal and written communication skills.
MS or BS in Computer Science (or equivalent) and extensive programming experience.
Knowledge of Big Data and Cloud computing technologies.
Prior exposure to statistical techniques, behavioral targeting.
Hands on coding experience.
Innovative & can initiate projects that would reap benefits for Media.Net.
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