CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

Our Perks:

Flexible PTO (designed to offer flexible time away for you!)Up to 12 weeks paid parental leavePaid Volunteer Time OffMental health coverageQuarterly Wellness stipendFertility benefitsComplete list of benefits here

CLA is growing and seeking to hire an experienced Senior Knowledge Engineer to join our talented Enterprise Technology team. The position offers growth, flexibility and a collaborative work environment.

How you’ll create opportunities in this Senior Knowledge Engineer role: This role is responsible for designing, developing, and maintaining knowledge graphs that enhance data integration, retrieval, and analysis. They work closely with cross-functional teams to ensure the effective capture, organization, and utilization of knowledge within the organization.

In this position you should have the following:

• Design, develop, and implement knowledge-based systems, including ontologies, taxonomies and knowledge graphs to support data integration and semantic search.

• 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.

What you will need:

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

Technical Compentencias:

• 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.

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Equal Opportunity Employer /AA Employer/Minorities/Women/Protected Veterans/Individuals with Disabilities.
 
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.

To view a complete list of benefits click here.