SOLR And SpaCy

Infosys; Chennai District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Infosys is seeking an experienced engineer in Chennai to design, develop, and maintain enterprise search solutions using Apache SOLR. You will build and optimize indexes, queries, and relevancy while applying NLP techniques with SpaCy for semantic search.

The role requires strong Python/Java programming, familiarity with REST and microservices, and exposure to Elasticsearch/OpenSearch, vector databases, and transformer/LLM-based search approaches. Collaboration with stakeholders is essential.

Qualifications

• Experience with enterprise search platforms and information retrieval.
• Hands-on NLP development with SpaCy in Python.
• Strong programming experience in Python and/or Java.

Responsibilities

• Design, develop, and maintain enterprise search solutions using SOLR.
• Build and optimize search indexes, query processing, ranking, and relevancy tuning.
• Develop NLP pipelines for text extraction, entity recognition, and semantic search.

Skills

Apache SOLR

Lucene

SpaCy

Python

Java

NLP

Information retrieval

REST APIs

Microservices

Git

CI/CD

Agile

Search relevance tuning

Tools

Elasticsearch/OpenSearch

Vector databases

Transformer models

LLM-based search

Azure

AWS

GCP

Job description

Job Description:

Strong experience with Apache SOLR / Lucene. Hands-on expertise in SpaCy and Python-based NLP development. Strong programming experience in Python, Java, or related technologies. Experience with information retrieval, text mining, and search relevance tuning. Good understanding of REST APIs and microservices architecture. Experience working with JSON, XML, and large-scale structured/unstructured datasets. Knowledge of indexing, tokenization, stemming, and ranking algorithms. Familiarity with Git, CI/CD pipelines, and Agile development methodologies.

Design, develop, and maintain enterprise search solutions using Apache SOLR. Build and optimize search indexes, query processing, ranking, faceting, and relevancy tuning. Develop NLP solutions using SpaCy for text extraction, entity recognition, classification, and semantic search. Implement advanced search features such as autocomplete, spell correction, synonym handling, and relevance optimization. Work closely with business stakeholders to understand search and content discovery requirements. Integrate search platforms with enterprise applications, APIs, and data sources. Monitor and improve search performance, scalability, and availability. Develop custom NLP pipelines and machine learning-based text processing solutions. Troubleshoot and resolve production issues related to search indexing and query execution. Mentor junior team members and contribute to solution architecture and design discussions.

Experience with Elasticsearch/OpenSearch. Exposure to Machine Learning and Generative AI use cases. Knowledge of Transformer models, BERT, or LLM-based search implementations. Experience with cloud platforms such as Azure, AWS, or GCP. Knowledge of vector databases and semantic search technologies.