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Job Location | Chandigarh |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Media / Dotcom / Entertainment |
Functional Area | IT Operations / EDP / MIS |
EmploymentType | Full-time |
Requirements Strong CS fundamentals In-depth Lucene expertise Expertise in any of Solr/Elastic Search/Sphinx Real-world expertise with Information Retrieval, Machine Learning, Recommendation Systems Experience working with large, custom search systems Exposure to architectural patterns of large, high-scale web applications Hands-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 Fields Familiar with classical statistics and time series analysis Education 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 :
time seriesmarkov modelsconversion ratemachine learninginformation retrievalarchitectural patternseducational qualification