Description

You will drive advanced search optimizations for a large-scale e-commerce retail platform using Solr and SAP Hybris.

Responsibilities

• Design and implement search strategies to improve result relevance and accuracy.
• Configure Solr facetting and optimize query handling using 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 performance and drive data-driven optimizations.
• Integrate generative AI models for user intent detection and ranking.

Required Skills

• Minimum 5 years of experience in search optimization 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 solutions.
• Knowledge of implementing vector search and semantic search capabilities.
• Ability to perform customer journey analysis and conversion rate optimization.
• 11+ years of total working experience.

Preferred Skills

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

Key Skills

Education

Any Graduate