AI Data Analyst Intern: Structured Knowledge Discovery
1 day ago
We're seeking a highly motivated and detail-oriented AI Data Analyst Intern to join our team at Teradata. As an intern, you will have the opportunity to work on exciting projects that involve the integration of Semantic Labeling with Retrieval Augmented (query) Generation tools.
Our internship program is designed to provide you with hands-on experience in working with structured data and developing innovative solutions using Generative AI methods. You will be part of a dynamic team that includes Paul G. Brown, Teradata Engineering Fellow, and other experts in the field.
The project involves discovering 'Semantics' (structure, rules, features) of a Structured Data Corpus and using this Semantic Map to automatically build a Knowledge Graph. This graph will then be used by RAG tool sets to better support 'Natural Language' data analysis.
As an intern, you will be responsible for:
- Assisting ongoing research into the integration of Semantic Labeling with Retrieval Augmented query Generation tools.
- Developing a Knowledge Graph from a Semantic Map to support Natural Language data analysis.
To succeed in this role, you should have a strong background in Generative AI methods, Knowledge Graphs, and their applications in search/query/analysis, specifically in the context of Structured Repositories. Familiarity with Linux command line tools, Python, SQL, and git is also essential.
We offer a competitive salary range of $29-$44-$50 hourly, depending on your location, internal equity, job-related knowledge, skills, and candidate experience. Our benefits package includes a comprehensive Total Rewards program that includes health insurance, retirement plans, and more.
Teradata prioritizes a people-first culture, embracing flexible work models, focusing on well-being, and being an anti-racist company committed to Diversity, Equity, and Inclusion. We invite all identities and backgrounds to join our inclusive workplace.
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