Search Relevance Engineer

You will be building great products, designing great experiences, building scalable platforms, and making customers happy.

Experience

3 -15 Years of Experience

Hands-on experience in positions focused on Machine Learning, Information Retrieval, Natural Language Processing, Text analysis, Learning to Rank, etc.
Experience in implementing mathematical models and algorithms to improve search results
Expertise in collecting, cleansing and reshaping unstructured/raw datasets.
Good understanding of Data structures and algorithms and ability to write high performance code.
Ability to quickly respond to the changing needs and roll out functionality in small, usable increments.
Solid understanding of the Software as a Service (SaaS) model
Solid engineering and coding skills. Ability to write high performance production quality code. Experience in Java, Python, Scala or similar languages is a plus.Experience building search pipelines with big data technologies such as Hadoop, Spark, Kafka, etc. is preferred
Experience on improving search relevance using Lucene/Solr/Elasticsearch or any other similar product.
Experience on Service Oriented Architecture and RESTful APIs.

Research, Recommend and implement best practices of text based relevance systems that can scale.
Develop new ranking features and techniques and build upon the latest results from the research community.
Work with product management to analyse functional requirements and work towards taking this to production.
Understand the existing use cases of search and work with the team to develop strategies to improve search relevance.
Design and work to operationalize new search usage metrics and patterns to identify opportunities to improve search relevance.
Write clean, testable, readable and maintainable code that scales. Take ownership of your code and features, from design through deployment and support.

Write to deepa.m@careerxperts.com to get connected.

Chennai / Bengaluru

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