Sr Knowledge Engineer bei EBSCO

:EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we’re driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information — when, where and how people need it. We’re seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact.Your Opportunity:

 

The Senior Knowledge Engineer is a technical resource that relishes solving novel problems in the areas of machine learning, generative AI, natural language processing, information extraction, document summarization, information retrieval, search relevancy, and knowledge graphs.  The Senior Knowledge Engineer will bring new ideas, iterate quickly, share findings, and drive new solutions for content metadata enrichment and content discovery/findability.

 

This remote position is U.S.-based only (excluding U.S. territories).

What You'll Do:

 

• Develop tools and strategies related to text analytics, machine learning, generative AI, and metadata enrichment pipelines
• Deploy MLAI and natural language processing tools/techniques to reduce review time, increase categorization accuracy, or enrich content with new metadata
• Engineer precise, clear, and effective prompts to guide AI models towards generating desired outcomes and insights, while minimizing biases and hallucinations
• Design, maintain, and optimize knowledge graphs supporting advanced search and enriched content discovery
• Analyze and interpret search data to identify patterns, inform relevancy tuning, and support iterative improvements in search

 

Your Team

 

You will be welcomed as a member of team Owl which is aligned to the Content and Search Domain.  Our team enjoys the flexibility and greater work life balance working remotely offers. There will be ample resources, tools, training, and support to ensure your success as a enter the role title and your development and career growth at EIS.

About You:

• A Software Engineer
• Bachelor’s degree in computer science, MIS, Computer Engineering or other Technical related degree or equivalent experience
• 5 years’ experience with
  • Taxonomies/ontologies, knowledge graphs, and hands-on experience with languages/standards (e.g., RDF, OWL, SKOS) and graph databases (e.g., AWS Neptune, GraphDB)
  • Natural language processing and/or machine learning model implementation.
  • Python for data science, including Pandas, Jupyter notebooks, and open-source machine learning modules (Scikit, NLTK, Spacy)
  • Data processing, including extraction, transformation, and loading (ETL) of large data sets from unstructured and semi-structured data (plaintext, PDF, JSON, XML)
  • Database querying, extraction of data, and design using SQL

 

What sets you apart

• • Knowledge of AWS or Azure Cloud Based tooling and solutions
  • Experience with generative AI models, including prompt engineering and parameter tuning
  • Understanding of statistics and information retrieval quality measures, including regression, hypothesis testing, precision, recall, f-measure, and AUC-ROC

 

Pay Range:USD $94,320.00 - USD $134,745.00 /Yr. Jetzt bewerben