
Information Retrieval Specialist
2 weeks ago
About the Role:
As an Information Retrieval Specialist, you will design and implement search solutions that meet the complex business requirements of a B2B sales intelligence platform.
You will be responsible for architecting and developing advanced search features using OpenSearch/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms.
Main Responsibilities:
- Design & Implement Search Solutions: Develop advanced search features using OpenSearch/Elasticsearch, including custom analysers, tokenisers, and scoring algorithms.
- Index & Template Management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
- Query Pipeline Development: Build and optimise custom query builders and search pipelines tailored to complex business requirements.
- AI/ML/LLM Powered Search: Leverage LLMs and AI for data enrichment and improved search relevance.
- API Development: Develop and maintain robust, scalable APIs for search using Python (FastAPI).
- Testing & Quality Assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
- DevOps & Automation: Automate deployment and management of search infrastructure, including index templates and search pipelines.
- Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences.
Requirements:
We are seeking a highly skilled Information Retrieval Specialist with:
- 5+ Years Experience: With Elasticsearch or OpenSearch in production environments.
- Expert Level Expertise: In Python, with experience building APIs (preferably FastAPI).
- Deep Understanding: Of search concepts: analysers, tokenisers, relevance tuning, custom scoring, and query DSL.
- Experience: With index template management, lifecycle policies, and large-scale data modelling.
- Proficiency: In designing and optimising search pipelines and custom query builders.
- Strong Background: In testing, including integration, regression, and performance testing.
- DevOps Skills: Automation, CI/CD, and cloud infrastructure (AWS preferred).
- Excellent Communication: And collaboration skills.
- Experience: With S3, AWS Lambda, and cloud-native architectures.
Benefits:
This role offers the opportunity to work on cutting-edge search technologies and collaborate with a talented team of data engineers and product managers.
The ideal candidate will have a strong passion for search and information retrieval, as well as excellent communication and collaboration skills.
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