SOLR & SpaCy

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.