Job highlights
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 . .

Solid 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

Desire to improve our customer's 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 recent challenges, like discovery and personalization

📌 Search Lead Chandigarh
🏢 Indian Mesh
📍 Chandigarh