Search solutions engineerthis is a key role that involves designing, developing and optimizing semantic and vector-based search solutions using lucene / solr and modern embeddings. Responsibilities we are looking for an experienced professional with expertise in machine learning and good understanding of search engines to work on the following: design scalable data pipelines and apis for indexing, retrieval, and model inference. Integrate ml models and search capabilities into production systems. Evaluate, fine-tune, and monitor search performance metrics. Collaborate with software engineers, data engineers, and product teams to translate business needs into technical implementations. Requirements 5 years of experience in data science or machine learning engineering with a focus on information retrieval or semantic search. Strong programming experience in both java and python (production-level code, not just prototyping). Deep knowledge of lucene, apache solr, or elasticsearch (indexing, query tuning, analyzers, scoring models). Experience with vector databases, embeddings, and semantic search techniques. Strong understanding of nlp techniques (tokenization, embeddings, transformers, etc.). Benefits opportunity to collaborate with talented professionals across different domains. Chance to develop scalable search solutions leveraging cutting-edge technologies. Flexible working environment with opportunities for growth and development. J-18808-ljbffr