

Avesta Computer Services
Search Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Search Specialist (Sinequa, Elasticsearch, Solr) on a contract basis, 100% remote, with a pay rate of "unknown." Requires expertise in Sinequa, search algorithms, and programming languages (Java, Python, .NET). Bachelor's/Master's in Computer Science preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 16, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Corp-to-Corp (C2C)
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #.Net #AI (Artificial Intelligence) #SaaS (Software as a Service) #Indexing #Security #Data Management #Data Ingestion #Computer Science #NLP (Natural Language Processing) #Data Integration #Data Quality #Scripting #Angular #Data Governance #ML (Machine Learning) #Metadata #Cloud #HBase #Programming #Java #Python #Elasticsearch
Role description
Customer - Our customer is a leader in AI enabled SaaS products and solutions with focus in the life sciences domain
Job Title - Search Specialist (,Sinequa, Elasticsearch, Solr) - 100% Remote
Location - Remote
Type - Contract - C2C (Corp-to-Corp) - contract
The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising 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.
Key Responsibilities:
• Search Implementation:
• Configure, customize, and maintain Sinequa's search platform to meet organizational requirements.
• Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning.
• Implement data ingestion procedures leveraging Sinequa connectors and APIs.
• Development of Search-Based Applications:
• Design, develop, and deploy search-based applications that leverage the Sinequa platform.
• Integrate search functionalities into existing and new applications to enhance user experience and information retrieval.
• Collaborate with UI/UX designers to create engaging and efficient search interfaces.
• Implement security best practices to protect sensitive data within search-based applications.
• Test, debug, and document search-based applications to ensure high-quality deliverables.
• Optimization and Performance:
• Monitor and optimize search performance, ensuring low latency and high accuracy of search results.
• Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval.
• Conduct regular performance analyses and make necessary adjustments to enhance search efficiency.
• Collaboration and Communication:
• Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions.
• Collaborate with data and content experts to ensure data quality and search index integrity.
• Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders.
• User Experience Enhancement:
• Design and implement user-friendly search interfaces and experiences.
• Gather and analyze user feedback to continually improve search functionalities.
• Ensure the search platform provides intuitive and relevant results to end-users.
• Data Management:
• Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results.
• Implement best practices for data governance and quality management in the context of search.
• Innovation and Continuous Improvement:
• Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform.
• Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven experience with the Sinequa platform or similar enterprise search solutions.
• Solid understanding of search algorithms, information retrieval, and relevancy tuning.
• Proficiency in programming/scripting languages such as Java, Angular, Python, .NET or similar.
• Strong analytical and problem-solving skills.
• Experience with data integration tools and techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications:
• Experience with other enterprise search platforms or technologies (e.g.,Sinequa, Elasticsearch, Solr).
• Background in natural language processing (NLP) and machine learning as applied to search.
• Familiarity with cloud platforms and services, particularly AWS.
• Knowledge of data governance and data quality best practices.
Customer - Our customer is a leader in AI enabled SaaS products and solutions with focus in the life sciences domain
Job Title - Search Specialist (,Sinequa, Elasticsearch, Solr) - 100% Remote
Location - Remote
Type - Contract - C2C (Corp-to-Corp) - contract
The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising 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.
Key Responsibilities:
• Search Implementation:
• Configure, customize, and maintain Sinequa's search platform to meet organizational requirements.
• Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning.
• Implement data ingestion procedures leveraging Sinequa connectors and APIs.
• Development of Search-Based Applications:
• Design, develop, and deploy search-based applications that leverage the Sinequa platform.
• Integrate search functionalities into existing and new applications to enhance user experience and information retrieval.
• Collaborate with UI/UX designers to create engaging and efficient search interfaces.
• Implement security best practices to protect sensitive data within search-based applications.
• Test, debug, and document search-based applications to ensure high-quality deliverables.
• Optimization and Performance:
• Monitor and optimize search performance, ensuring low latency and high accuracy of search results.
• Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval.
• Conduct regular performance analyses and make necessary adjustments to enhance search efficiency.
• Collaboration and Communication:
• Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions.
• Collaborate with data and content experts to ensure data quality and search index integrity.
• Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders.
• User Experience Enhancement:
• Design and implement user-friendly search interfaces and experiences.
• Gather and analyze user feedback to continually improve search functionalities.
• Ensure the search platform provides intuitive and relevant results to end-users.
• Data Management:
• Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results.
• Implement best practices for data governance and quality management in the context of search.
• Innovation and Continuous Improvement:
• Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform.
• Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven experience with the Sinequa platform or similar enterprise search solutions.
• Solid understanding of search algorithms, information retrieval, and relevancy tuning.
• Proficiency in programming/scripting languages such as Java, Angular, Python, .NET or similar.
• Strong analytical and problem-solving skills.
• Experience with data integration tools and techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications:
• Experience with other enterprise search platforms or technologies (e.g.,Sinequa, Elasticsearch, Solr).
• Background in natural language processing (NLP) and machine learning as applied to search.
• Familiarity with cloud platforms and services, particularly AWS.
• Knowledge of data governance and data quality best practices.






