Sr Knowledge Engineer

al 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.

The actual salary offer will carefully consider a wide range of factors including your skills, qualifications, education, training, and experience, as well as the position's work location.

EBSCO provides a generous benefits program including:

-Medical, Dental, Vision, Life and Disability Insurance and Flexible spending accounts
-Retirement Savings Plan
-Paid Parental Leave
-Holidays and Paid Time Off (PTO)
-Mentoring program
And much more! Check it out here: https://https://www.ebsco.com/about/benefits

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.

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