20 beste Stellen als knowledge engineer in zug zg – aktuell auf Personalsuche

Ai & Knowledge Graph Engineer
Umanitek —Zug, ZG
- Homeoffice
- Master
- Datenbanken
- Bachelor
Direkt bewerben
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8 Tage
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Siemens —Zug, ZG
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- 100%
- Hybrides Arbeiten
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Direkt bewerben
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3Brain AG —Freienbach, SZ
- 100%
- Schemata
- Englisch
- Master
Direkt bewerben
Senior Verification Engineer
TechBiz Global GmbH —Emmen, LU
- 100%
- Homeoffice
- Doktorat
- Englisch
- Master
Direkt bewerben
AI Security Engineer (m/f/d) 100% (140´000 CHF)
cybergap —Zürich, ZH
- Englisch
- AWS
- Scripting
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Coherency Verification Engineer
TechBiz Global GmbH —Emmen, LU
- 100%
- Homeoffice
- Doktorat
- Englisch
- Master
Direkt bewerben
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Biogen —Baar, ZG
- 100%
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Life Science Client Partner
Capgemini Sogeti —Zürich, ZH
- Management-Erfahrung
- Englisch
- Master
- Empfehlungsprogramm
Quality Engineer
Abbott Laboratories —Zürich, ZH
- 100%
- Englisch
- Bachelor
- Ohne Hochschulabschluss
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Specialized —Cham, ZG
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- Kommunikationsfähigkeit
Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)
IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
- Master
Configuration Management Engineer (m/f/d)
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Analysefähigkeit
Direkt bewerben
Head of Data Platform
SCOR —Zürich, ZH
- Management-Erfahrung
- SQL
- Bachelor
Senior Signal Processing Engineer
LIOM Health AG —Freienbach, SZ
- 100%
- Doktorat
- Master
- C++

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Ai & Knowledge Graph Engineer

Umanitek
Zug, ZG

Direkt bewerben

Details zur Stelle

Festanstellung

Qualifikationen

Master
Datenbanken
Bachelor
Graph databases
Python

Vollständige Stellenbeschreibung

About us

At Umanitek, we work at the frontier of neuro-symbolic AI to build systems that protect humans from deepfakes and impersonation. Our core product, the Umanitek Guardian pipeline and agent network, grounds intelligence in RDF knowledge graphs to provide robust threat detection. We are dedicated to building hybrid reasoning capabilities that combine SPARQL-driven graph logic, risk scoring, entity resolution, embedding similarity, and media analysis into a single, coherent system to defend against modern digital threats.

Responsibilities

Develop and optimize hybrid reasoning systems combining Knowledge Graphs, LLMs, embedding search, and symbolic reasoning.
Build and evolve the Guardian stack (RDF, SPARQL, provenance modeling, schema/ontology design) for neuro-symbolic reasoning.
Build and test data collection tools enabling Guardian's AI analysis system to securely process data from multiple data sources at scale.
Measure and improve risk scoring, graph reasoning quality, and end-to-end detection performance.
Design efficient SPARQL queries and graph patterns for threat discovery, author reputation, and coordinated attack detection.
Integrate media-analysis capabilities (image/video processing, OCR, similarity signals) for harmful content discovery and tracking.
Integrate perceptual hashing and similarity search algorithms for image/video discovery.
Ensure scalability, data quality, and operational reliability of the Guardian knowledge base and orchestration pipeline.

Qualifications

The candidate has held the job title AI & Knowledge Graph Engineer or its equivalent.
The candidate must have experience in Knowledge Graphs and Multi-Agent Orchestration, with strong AI capabilities directly related to these domains. General machine learning expertise will be considered secondary unless directly applicable to KG enrichment or multi-agent systems.
The candidate must have deep technical expertise with knowledge graphs, specifically focusing on RDF, SPARQL, and advanced reasoning approaches. Experience with graph databases like Blazegraph is highly valued.
The candidate should have experience with artificial intelligence (AI) and large language models (LLMs), embeddings, or reasoning systems, with a strong emphasis on their application within knowledge graph contexts or multi-agent orchestration. Data science and general machine learning expertise will be considered secondary unless directly applicable to KG enrichment or multi-agent systems.
The candidate must be comfortable navigating Python's async, typing, and multithreading ecosystem including FastAPI, pytest, and pandas.
The candidate should have knowledge of graph algorithms such as PageRank, community detection, entity resolution, and similarity search.
The candidate needs proven experience in building and optimizing knowledge graph-centric or multi-agent orchestration data pipelines and ETL processes, with a focus on integrating diverse knowledge representation and reasoning technologies (e.g., Python, GraphDB, APIs & SDKs). General production pipeline experience without a KG or multi-agent focus will be de-emphasized.
The candidate should be proficient in the specified tech stack and tools, with a strong emphasis on those directly supporting knowledge graph applications and multi-agent orchestration, including RDFLib, GraphDB, and SPARQL query optimization tools. General machine learning tools should be considered secondary unless directly applicable to KG enrichment or multi-agent systems.
The candidate must be located fully remote in Europe.
The candidate should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
The candidate should have experience in the cybersecurity or threat-detection industry.

Direkt bewerben

Erweiterte Suche

knowledge engineer Jobs in zug zg

Ai & Knowledge Graph Engineer

Machine learning engineer

Project Manager

Development Engineer (contract)

Sales Engineer

Solution Engineer

Technical Trainer Fire Safety Systems 80-100%

Firmware Engineer

Electronics Engineer

Senior Verification Engineer

AI Security Engineer (m/f/d) 100% (140´000 CHF)

Coherency Verification Engineer

Logistics Engineer

Life Science Client Partner

Quality Engineer

QA Engineer – Mobile Testing

Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)

Configuration Management Engineer (m/f/d)

Head of Data Platform

Senior Signal Processing Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als knowledge engineer in zug zg erhalten

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