SOLR & SpaCy

About the Role

Design, develop, and maintain enterprise search solutions using Apache SOLR. Develop NLP solutions using SpaCy for text extraction, entity recognition, classification, and semantic search.

Key Responsibilities

• Build and optimize search indexes, query processing, ranking, faceting, and relevancy tuning.
• Implement advanced search features such as autocomplete, spell correction, synonym handling, and relevance optimization.
• Develop custom NLP pipelines and machine learning-based text processing solutions.
• 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.
• Troubleshoot and resolve production issues related to search indexing and query execution.
• Mentor junior team members and contribute to solution architecture and design discussions.

Requirements & Tech Stack

• 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.
• 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.