6 beste Stellen als ontologist, product knowledge ontology in münchen – aktuell auf Personalsuche

Ontologist, Product Knowledge Ontology
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- Vollzeit
- Forschungserfahrung
- Bachelor
- Scripting
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- Informatik
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- Master
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Knowledge and Ontology Engineer - Insurance (m/f/d)*
Munich Re —München
Enable self-service knowledge consumption by building APIs, query interfaces, and visualization tools that allow business users and analytics teams to explore…

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ontologist, product knowledge ontology jobs near münchen

Ontologist, Product Knowledge Ontology

Amazon Development Center Germany GmbH -
München

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Details zur Stelle

Vollzeit

Qualifikationen

Forschungserfahrung
Bachelor
Perl
Scripting
Agile
Python

Vollständige Stellenbeschreibung

DESCRIPTION

The vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers.

As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners, data science and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation.

Key job responsibilities

Develop logical, semantically rich, and extensible data models for Amazon's expansive product catalog
Ensure our ontologies provide comprehensive sub-domain coverage that are available for machine ingestion and inference
Research worldwide understanding of Amazon products to develop scalable data models that solve customer problems and enhance product discoverability
Create new schema using Generative Artificial Intelligence (generative AI) models
Expand existing data retrieval techniques by utilizing our extensive product catalog and query languages
Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally
Contribute to the development of new tool features and processes for the Ontology team
Drive alignment to ontology modeling and technology best practices and principles within our organization and across Amazon
Coordinate cross-functional projects with a broad range of technical and non-technical teams

About the team
Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs. We care about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing.

BASIC QUALIFICATIONS

Experience in computational linguistics, language data processing, semantics, or syntax
Experience in Python, Perl, or another scripting language
Experience with language annotation and other forms of data markup
Experience working with speech and text language data in multiple languages
Bachelor's degree or equivalent

PREFERRED QUALIFICATIONS

Knowledge of version control and agile development
Experience building ontologies, taxonomies, and semantic relation frameworks
Experience in writing grammars and building FSTs
Experience with statistical language modeling

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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ontologist, product knowledge ontology Jobs in münchen

Ontologist, Product Knowledge Ontology

Knowledge and Ontology Engineer - Insurance (m/f/d)*

Validation Engineer - Context, Semantics & Memory (f/m/x)

AI Engineer

Palantir Foundry Engineer (Frankfurt or Munich, Germany)

Civil Engineering Expert - AI & Data

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