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The Manager of Ontology and Data Modeling at Capital One will develop and maintain enterprise ontologies, work collaboratively across various teams to implement semantic technology, manage a roadmap to deliver business outcomes, and mentor junior associates while advocating for the use of ontologies in business processes.
The Manager of Ontology and Data Modeling at Capital One is responsible for developing enterprise ontologies supporting the company's Data Strategy. This role involves collaborating across teams to create domain ontologies, prioritizing a roadmap for data model development, mentoring junior staff, and advocating for semantic technology integration into products and services while adhering to industry standards.
As a Senior Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement full-stack technical solutions. You will utilize various programming languages and work on big data technologies to deliver robust cloud-based solutions that empower customer financial experiences.
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The Manager of Ontology and Data Modeling will lead the development and implementation of enterprise ontologies to support Capital One's data strategy. Responsibilities include collaborating across teams, defining problem statements, managing the ontology roadmap, and mentoring team members. The role also requires ensuring adherence to W3C standards and contributing to data integration efforts.
As a Senior Machine Learning Engineer at Capital One, you will design, build, and deploy machine learning models and systems, optimize code for performance in production, collaborate on Agile teams, and ensure the proper governance and maintenance of ML applications.
As a Senior Machine Learning Engineer at Capital One, you will design and implement machine learning applications. Your responsibilities include developing ML models, collaborating with cross-functional teams, maintaining models in production, and utilizing best practices in MLOps, CI/CD, and cloud technologies.
As a Senior Associate in Data Science, you will use generative AI to analyze call transcripts and document images, fine-tune large language models, manage data annotation projects, and collaborate with machine learning engineers and business stakeholders to develop and enhance machine learning solutions.
As a Senior Associate in Data Science, you will leverage deep learning and generative AI to analyze unstructured data from call transcripts and documents. Your role includes fine-tuning large models, managing data annotation projects, building machine learning solutions, and collaborating with engineers and stakeholders to deploy and optimize models.
As a Senior Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Your role involves using languages like Java, Scala, and Python, working with both relational and NoSQL databases, and leveraging cloud services like Redshift and Snowflake to create robust data solutions for financial empowerment.
As a Principal Associate, Data Scientist, you will develop machine learning models to prevent application fraud. You'll work with a team to analyze and extract insights from large data sets, leveraging various technologies and ensuring customer-focused solutions.
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