SOLR & SpaCy

Infosys Limited; Chennai District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Infosys Limited in Chennai is seeking a SOLR & SpaCy specialist with 5-9 years of experience to design and implement enterprise search and NLP solutions. You will optimize indexing, ranking, and NLP pipelines, while collaborating with stakeholders and integrating with APIs and data sources.

Proven coding skills in Python/Java, REST APIs, and experience with SOLR/OpenSearch are essential. Prior experience with cloud platforms and CI/CD is a plus.

Qualifications

• Candidates should have 5-9 years of experience in search solutions.
• Strong hands-on with SOLR/Lucene and Python-based NLP.
• Experience with REST APIs, microservices, and data formats (JSON/XML).

Responsibilities

• 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.

Job description

Job ID/Reference Code INFSYS-EXTERNAL-254090

Work Experience 5 - 9 Years

Job Title SOLR & SpaCy

Educational Requirements

Bachelor of Engineering,Bachelor Of Technology

Service Line

Digital Experience

Responsibilities

• 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.

Additional Responsibilities

• 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.

Technical and Professional Requirements

• 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.