In order to be considered, you must have:
A minimum of two years of full time industry experience using machine learning or PhD level research that resulted in building a recommendation system for a particular domain
A postgraduate degree in computer science, statistics or a related subject
Solid and demonstrable knowledge of machine learning principles
Solid and demonstrable knowledge of recommender systems and relevant approaches such as collaborative filtering, matrix factorization techniques, multi-armed bandits etc.
Experience in building and deploying practical recommender systems leveraging big data sources using technologies such as Apache Spark, Neo4J and so on
Excellent programming skills in a language such as Java or Python
Aside from these basics, we'll give extra credit to candidates that have experience in any of the following:
Experience in managing Hadoop / Spark / Mesos clusters
Experience in data analysis using software such as R or MATLAB
Applying natural language processing techniques (sentiment detection, named entity recognition, machine translation etc in a real world project
Experience with NoSQL databases
Designing and building ontologies, as well as related software
Enterprise search with Solr or Elastic Search
PhD in computer science, statistics or related subject
Basic Unix DevOps skills
Algorithmic Trading / Automated Bidding
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