Top Data & Analytics Jobs
Collaborate with Agile teams to design, develop, test, and support technical solutions using Python, AWS, and Kafka. Stay updated on tech trends, experiment with new technologies, and mentor team members. Deliver cloud-based solutions for financial empowerment. Perform unit tests, code reviews, and ensure code performance and quality.
Collaborate with Agile teams, design and develop technical solutions using full-stack development tools and technologies, work with machine learning and microservices, stay updated on tech trends, mentor team members, and deliver cloud-based solutions for financial empowerment. Conduct unit tests and code reviews for performance optimization.
Develop, implement, and govern ontologies and optimized data models in consultation with stakeholders. Contribute to data integration efforts and communicate the value of ontology and semantics across the business. Partner with technology teams to support development and integration of semantics. Analyze and implement knowledge organization strategies using machine learning tools. Stay informed about industry developments related to ontologies and data modeling. Develop standards and guidelines for ontology, data modeling, and semantics at Capital One.
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The Principal Associate of Ontology and Data Modeling at Capital One is responsible for developing, implementing, and maintaining enterprise ontologies in support of the company's Data Strategy. They collaborate with various teams to develop domain ontologies and integrate semantic technology into Capital One products and services. The role also involves advocating for the value of semantic technology and knowledge organization concepts.
The Principal Associate of Ontology and Data Modeling at Capital One is responsible for developing, implementing, and maintaining enterprise ontologies to support the data strategy. This role involves collaborating across different business units to develop domain ontologies and integrate semantic technology into Capital One products and services. Responsibilities include data modeling, knowledge organization, adhering to standards, and supporting the semantic program at Capital One.
Develop applications powered by Large Language Models across multiple modalities (text, speech, and vision). Partner with cross-functional teams to deliver products customers love. Build machine learning models and contribute research to top-tier NLP conferences.
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