Senior Knowledge Management Engineer

Cliftonlarsonallen - Minneapolis, MN

Full-time - Mid Level

Minneapolis, MN

5,001-10,000 employees

Professional, Scientific, and Technical Services

About the position

The Senior Knowledge Engineer at CLA is responsible for designing, developing, and maintaining knowledge graphs that enhance data integration, retrieval, and analysis. This role involves collaboration with cross-functional teams to ensure effective knowledge capture and utilization within the organization, contributing to the overall growth and flexibility of the Enterprise Technology team.

Responsibilities

• Design, develop, and implement knowledge-based systems, including ontologies, taxonomies, and knowledge graphs.
• Develop and optimize algorithms for knowledge graph construction and maintenance.
• Collaborate with data scientists and engineers to capture and model domain-specific knowledge.
• Develop and maintain knowledge repositories, ensuring data accuracy and consistency.
• Create and manage metadata standards and guidelines.
• Implement natural language processing (NLP) techniques to enhance knowledge retrieval and utilization.
• Implement and maintain ontologies, taxonomies, and schemas to ensure data consistency and interoperability.
• Conduct regular audits and updates of knowledge systems to ensure relevance and accuracy.
• Train machine learning models and fine-tune large language models (LLMs) for specific tasks, optimizing performance and accuracy.
• Contribute to the development of internal tools and frameworks that support the extraction, transformation, and loading (ETL) processes for knowledge graph construction.
• Provide technical guidance and support to team members on knowledge graph-related projects.
• Stay current with advancements in knowledge graph technologies and best practices.

Requirements

• 4 years of relevant experience required.
• Bachelor's degree is required; a combination of relevant experience, education, and training may be accepted in lieu of a degree.
• Degree in Computer Science, Data Analytics, Data Science, or related field preferred.
• Experience with knowledge management tools, semantic web technologies, and graph databases preferred.

Nice-to-haves

• Understanding of languages such as SQL, GraphQL, and Python.
• Strong understanding of ontologies, taxonomies, and knowledge graphs.
• Experience with natural language processing (NLP) and machine learning techniques.
• Knowledge of data visualization tools and techniques.
• Familiarity with data integration and ETL processes.

Benefits

• Flexible PTO
• Up to 12 weeks paid parental leave
• Paid Volunteer Time Off
• Mental health coverage
• Quarterly Wellness stipend
• Fertility benefits
• Health insurance
• Dental insurance
• Vision insurance
• 401k