Job Title

We are seeking an experienced Search Engineer with a strong background in E-commerce/Retail search technologies. The ideal candidate will design and optimize high-performance search solutions using Elasticsearch, Solr, Vertex AI/Google Retail Search (GRS), and Machine Learning (ML). You will play a crucial role in building scalable, AI-driven, and personalized search experiences that enhance product discovery and user engagement.Key Responsibilities:Architect and optimize search platforms to deliver fast, relevant, and personalized search experiences for e-commerce/retail platforms.Implement and fine-tune search engines like Elasticsearch, Solr, and AI-powered solutions like Google Retail Search (GRS) / Vertex AI to enhance search relevance.Leverage Machine Learning (ML) models to improve query understanding, product ranking, and search personalization.Develop and implement Natural Language Processing (NLP) techniques for better user intent recognition, synonym expansion, and context-aware search.Design and optimize indexing strategies for large-scale product catalogs to ensure high availability and low-latency search performance.Integrate AI-driven recommendations and search autosuggestions to improve customer engagement and conversions.Collaborate with Data Science teams to develop predictive search capabilities and real-time learning models.Define and monitor key search performance metrics (e.g., relevance, recall, response time, query abandonment rate) and continuously optimize search quality.Work with engineering teams to integrate search solutions with e-commerce platforms, APIs, and data pipelines.Implement A/B testing and experiment frameworks to evaluate new search enhancements.Stay updated with the latest advancements in search technologies, AI, and ML to continuously improve search capabilities.Required Skills & Experience:8+ years of experience in designing and implementing search solutions for large-scale e-commerce/retail platforms.Proficiency in search engines like Elasticsearch, Apache Solr, and Google Retail Search (GRS) / Vertex AI Search.Strong experience in Machine Learning (ML) for search optimization, relevance tuning, and ranking models.Hands-on experience with NLP techniques for improving search query understanding and personalization.Proficiency in programming languages like Python, Java, or Scala for building and optimizing search pipelines.Experience in big data processing frameworks like Apache Spark, Kafka, and Hadoop.Deep understanding of search ranking algorithms, indexing strategies, and search analytics.Experience in working with Google Cloud Platform (GCP).Expertise in RESTful APIs and microservices architecture to integrate search solutions into web applications.Knowledge of e-commerce/retail domain challenges, including product taxonomies, catalog indexing, and real-time inventory updates.Strong problem-solving skills and the ability to work in a fast-paced, agile development environment.Preferred Qualifications:Experience in Google Vertex AI and GCP AI/ML services for search optimization.Expertise in vector search and hybrid search models.Hands-on experience in AI-powered recommendation systems.Certifications in Elasticsearch, Google Cloud, or AI/ML technologies are a plus.