Background:
The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimizing the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively and properly supports the use cases that leverage the platform capabilities.
The perfect candidate:
The perfect candidate has a Sinequa University Accreditation Certificate and has worked with Sinequa for minimum 3 years already.
Tasks and Responsibilities:
1. Indexing and Content Management: Collaborate with data source owners and application owners to ensure that all relevant content is properly indexed and searchable in the context of a specific use case. This involves understanding business requirements, setting up indexing rules, and ensuring accurate and efficient content retrieval
2. Issue Monitoring and Troubleshooting: Monitor the search platform for any issues or anomalies and provide timely resolutions. Troubleshoot and resolve search-related issues, working closely with cross-functional teams and vendors if needed
3. Documentation and Best Practices: Develop and maintain documentation and best practices for the search platform, including configuration settings, indexing guidelines, troubleshooting procedures, and performance optimization techniques
4. Maintenance and Optimization: Regularly maintain and optimize the Sinequa search platform, ensuring it is up-to-date and performing at its best. This includes monitoring system health, implementing necessary upgrades and patches, and configuring platform settings for optimal performance
Your Profile:
5. Sinequa University Accreditation Certificate - Solution ARchitect
6. 2 years experience working in an Agile delivery model, preferably SAFe
7. Work with Sinequa 3 years min.
8. Familiarity with data structures, databases, SQL, noSQL databases (e.g. graph databases, vector databases).
9. Good understanding in programming languages such as C# (important), Java, Angular, Python.
10. Proficiency in metadata management.
11. Search capabilities powered by Sinequa as an enterprise search engine platform.
12. Knowledge of artificial intelligence (AI), natural language processing (NLP) and machine learning (ML) algorithms used for search.
13. English fluent is required, French is nice to have
14. Large Language Model usage in an enterprise environment, especially prompt engineering for RAG