20 beste Stellen als knowledge engineer in zürich, zh – aktuell auf Personalsuche

Ai & Knowledge Graph Engineer
Umanitek —Zug, ZG
- Homeoffice
- Master
- Datenbanken
- Bachelor
Direkt bewerben
Development Engineer (contract)
Roche —Zug, ZG
- 100%
- Management-Erfahrung
- Laborerfahrung
- Englisch
Trust Requirements Engineer (80%-100%) Glattbrugg (ZH) oder Lausanne (VD)
SwissSign AG —Glattbrugg, ZH
- CHF 110’000 - CHF 130’000 pro Jahr
- Hybrides Arbeiten
- Englisch
- Softwareentwicklung
- Kommunikationsfähigkeit
Direkt bewerben
Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Julius Baer —Zürich, ZH
- Management-Erfahrung
- Datenanalyse
- Systemdesign
14 Tage
Temporal Interference Stimulation in the Brain: Modeling and Optimization (Software/Support Engineer)
IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
- Master
Product & Test Engineer
indie Semiconductor —Schlieren, ZH
- 100%
- Englisch
- Master
- Datenbanken
AI Security Engineer (m/f/d) 100% (140´000 CHF)
cybergap —Zürich, ZH
- Englisch
- AWS
- Scripting
Direkt bewerben
Performance & Operation Engineer
Ansaldo Energia Group —Baden, AG
- Englisch
- Analysefähigkeit
- Kommunikationsfähigkeit
- Eltern-/Erziehungsurlaub
Direkt bewerben
Process Engineer Manager
Kanadevia Inova —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Microsoft Office
Direkt bewerben
Electronics Engineer
3Brain AG —Freienbach, SZ
- 100%
- Schemata
- Englisch
- Master
Direkt bewerben
Application Integration Engineer 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Java
- Master
- Bachelor
Sales Engineer
Malvern Panalytical Ltd —Wädenswil, ZH
- 100%
- Homeoffice
- CRM-Software
- Bis zu 50% Reiseanteil
- Englisch
Design Engineer
Weir Group —Baden, AG
- 100%
- CAD
- Englisch
- Produktion
Systems Engineer (m/f/d)
Consulteer —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
Direkt bewerben
Product Compliance and Sustainability Expert
DECTRIS —Baden, AG
- 100%
- Homeoffice
- Management-Erfahrung
- Englisch
- Master
Life Science Client Partner
Capgemini Sogeti —Zürich, ZH
- Management-Erfahrung
- Englisch
- Master
- Empfehlungsprogramm
Junior Sensor Validation & Test Engineer
Bota Systems AG —Zürich, ZH
- 100%
- Englisch
- Master
- Bachelor
Direkt bewerben
Logistics Engineer
Biogen —Baar, ZG
- 100%
- Microsoft Powerpoint
- Microsoft Word
- Textverarbeitung
Senior Application Engineer
u-blox —Thalwil, ZH
- Englisch
- Master
- Bachelor
2 Tage
Senior Software Engineer - AI Platform & Knowledge Systems (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Informatik
- Englisch
- Master
3 Tage

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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 zürich, zh

Ai & Knowledge Graph Engineer

Development Engineer (contract)

Trust Requirements Engineer (80%-100%) Glattbrugg (ZH) oder Lausanne (VD)

Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)

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

Product & Test Engineer

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

Performance & Operation Engineer

Process Engineer Manager

Electronics Engineer

Application Integration Engineer 100% (f/m/d)

Sales Engineer

Design Engineer

Systems Engineer (m/f/d)

Product Compliance and Sustainability Expert

Life Science Client Partner

Junior Sensor Validation & Test Engineer

Logistics Engineer

Senior Application Engineer

Senior Software Engineer - AI Platform & Knowledge Systems (f/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als knowledge engineer in zürich, zh erhalten

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