Description

You will drive advanced search optimizations across a large-scale e-commerce retail website, focusing on Solr and SAP Hybris.

Responsibilities

• Design and implement search optimization strategies using Solr and SAP Hybris to improve result relevance and accuracy.
• Configure and optimize Solr facetting to enhance user navigation and filter functionality.
• Optimize query handling processes using advanced query parsers like EDisMax and boosting techniques.
• Tune relevance algorithms using machine learning and AI to tailor results to user behavior.
• Execute A/B testing and use analytics to monitor search performance and drive data-driven optimizations.

Required Skills

• Minimum 5 years of experience in search optimization specifically with Solr and SAP Hybris.
• Deep expertise in Solr configurations, query parsers, facetting, and indexing.
• Extensive experience with SAP Hybris search configurations and integrations.
• Proficiency in Java and Python for developing search optimization solutions.
• Experience integrating generative AI models and machine learning for user intent detection and ranking.
• Knowledge of implementing vector search and semantic search capabilities.
• Ability to perform customer journey analysis and conversion rate optimization.

Preferred Skills

• Experience within an e-commerce retail environment.
• Familiarity with UX/UI design principles.

Key Skills

Education

Any Graduate