beBee Careers
Advanced Search Solutions Developer
₹ Check with seller / month
✓ Actively Hiring
📍 Bhopal
💼 Full Time
🛡️ Verified Listing
⚡ Direct Apply — No Agent
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Job at a Glance
- Category
- IT Engineer & Developer
- Location
- Bhopal, Madhya Pradesh, India
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- beBee Careers
- Status
- Open & Active
Job Description
Search/Information Retrieval Engineer
We're seeking an experienced Search/Information Retrieval Engineer to design, develop, and optimize search solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of information retrieval systems.
Responsibilities:
• Design and implement advanced search functionality using modern search technologies (such as Elasticsearch, Solr, or similar platforms)
• Develop high-quality, scalable search applications with focus on relevancy, performance, and user experience
• Create and optimize search algorithms, ranking models, and retrieval methods
• Create Knowledge Graphs from various corporate data sources
• Implement and fine-tune query understanding, text analysis, and relevance scoring
• Analyze and maintain existing search infrastructure and applications
• Design and execute A/B tests to measure search quality improvements
• Develop efficient indexing strategies and data preparation pipelines
• Implement machine learning models for search ranking
• Discover and fix programming bugs
• Monitor and optimize search performance metrics
• Create and maintain documentation for search systems
We're seeking an experienced Search/Information Retrieval Engineer to design, develop, and optimize search solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of information retrieval systems.
Responsibilities:
• Design and implement advanced search functionality using modern search technologies (such as Elasticsearch, Solr, or similar platforms)
• Develop high-quality, scalable search applications with focus on relevancy, performance, and user experience
• Create and optimize search algorithms, ranking models, and retrieval methods
• Create Knowledge Graphs from various corporate data sources
• Implement and fine-tune query understanding, text analysis, and relevance scoring
• Analyze and maintain existing search infrastructure and applications
• Design and execute A/B tests to measure search quality improvements
• Develop efficient indexing strategies and data preparation pipelines
• Implement machine learning models for search ranking
• Discover and fix programming bugs
• Monitor and optimize search performance metrics
• Create and maintain documentation for search systems
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