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| Job Location | Chandigarh |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Media / Dotcom / Entertainment |
| Functional Area | Sales / BDGeneral / Other Software |
| EmploymentType | Full-time |
Strong CS fundamentalsIn-depth Lucene expertiseExpertise in any of Solr / Elastic Search / SphinxReal-world expertise with Information Retrieval , Machine Learning , Recommendation SystemsExperience working with large , custom search systemsExposure to architectural patterns of large , high-scale web applicationsHands-on experience in Information Retrieval , Search Ranking , Search Relevance , Machine Learning or statistical models used in linguistic processing , such as Hidden Markov Models and Conditional Random FieldsFamiliar with classical statistics and time series analysisEducation Qualification B.E / B.Tech (Preferably from Tier1 / Tier2 Colleges).Job Responsibilities Desire to improve our customers search experience a must Work on distributed infrastructure Work on indexing pipelines Architect and build the next generation of Search features and infrastructure Understand , measure , and debug ranking quality Improve the quality of our search results and conversion rate Apply Information Retrieval and Machine Learning techniques to retrieve relevant results and provide optimal rankings and implement scoring features. Help us tackle new challenges , like discovery and personalization ,
Keyskills :
hiddenmarkovmodels timeseries markovmodels elasticsearch conversionrate machinelearning architecturalpatterns educationalqualification solr lucene search indexing features education clas nf mationretrieval