20 meilleures offres (cybersecurity engineer, zoug zg) (à pourvoir)

AI Data Scientist 80-100%
Siemens —Zoug, ZG
- Travail hybride
- Anglais
- Niveau Master
- Esprit d'analyse
Senior Security Developer, Google Threat Intelligence Group
Google —Zürich, ZH
- De 104 000 CHF à 253 000 CHF par an
- 100%
- Télétravail
- Recherche
- Esprit d'analyse
- Niveau Licence
il y a 10 jours
Mobile Developer
Sphynx —Zoug, ZG
- 100%
- Travail hybride
- Recherche
- Java
- Niveau Licence
Postuler rapidement
Onsite Support Services Engineer
Cognizant —Zürich, ZH
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- AWS
Product Cybersecurity Manager
Sonova —Stäfa, ZH
- Anglais
- Niveau Master
- Niveau Licence
OT Network and Cyber Security Engineer (m/f/x) 80 - 100%
Everllence SE —Zürich, ZH
- Anglais
- Contrôleur programmable
- Réseaux informatiques
Customer Engineer Security, Google Cloud Security Sales
Google —Zürich, ZH
- De 132 000 CHF à 135 000 CHF par an
- 100%
- Télétravail
- Anglais
- Niveau Licence
- Sans diplôme d'enseignement supérieur
il y a 4 jours
IT Security Engineer
Destinus —Zürich, ZH
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- Windows
Postuler rapidement
Senior Full-stack Java Software Engineer (m/w/d)
Eviden —Zürich, ZH
- Télétravail
- Anglais
- Java
- JavaScript
IAM Engineer (a)
AdNovum —Zürich, ZH
- Temps partiel
- Informatique
- Anglais
- Windows
Staff ML Engineer (Zürich)
Lakera —Zürich, ZH
- 100%
- Travail hybride
- Bar
- Niveau Master
Remote Sales Engineer / Kundenberater - Electrician Channel (w/m/d) 60-100%
Schneider Electric —Zürich, ZH
- Gestion du personnel
- Anglais
- Microsoft Office
IVVQ Engineer (m/w/d) – Systems Integration & Verification
Thales —Zürich, ZH
- 100%
- Analyse de données
- Anglais
- Niveau Master
- Réduction pour les employés
Senior ML Engineer (Zürich)
Lakera —Zürich, ZH
- 100%
- Travail hybride
- Bar
- Niveau Master
Senior Application Engineer
u-blox —Thalwil, ZH
- Anglais
- Niveau Master
- Niveau Licence
Head of Engineering, AI Security (Zürich)
Check Point Software Technologies —Zürich, ZH
- 100%
- Bar
- Recherche
- Leadership
Postuler rapidement
Specialist Systems Engineer - SASE (Zürich)
Fortinet —Zürich, ZH
- 100%
- Niveau Licence
- Sans diplôme d'enseignement supérieur
System Engineer (m/w/d)
Eviden —Zürich, ZH
- Télétravail
- Anglais
- Linux
- Travail à domicile
Senior IAM Engineer
ELCA Informatique SA —Zürich, ZH
- 100%
- Anglais
- Java
- Compétences en communication
Chief Information Security Officer (CISO)
RULEMATCH AG —Zürich, ZH
- Anglais
- Niveau Master
- Niveau Licence
- Caisse de pension
Postuler rapidement
il y a 7 jours

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cybersecurity engineer jobs near zoug zg

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Head Of Security, Zürich, ZH : emplois

Mobile Developer, Zürich, ZH : emplois

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Full Stack Developer, Lausanne, VD : emplois

Incident Manager, Genolier, VD : emplois

Marketing Manager, Lugano, TI : emplois

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Analytical Scientist, Basel, BS : emplois

Ai Scientist, Lausanne, VD : emplois

Ai Scientist, Zürich, ZH : emplois

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AI Data Scientist 80-100%

Siemens -
Zoug, ZG

Soumettre votre candidature

Détails de l'emploi

CDI | Temps de travail : 90-100%

Qualifications

Anglais
Niveau Master
Esprit d'analyse
Niveau Licence
Metadata
Compétences en communication

Description complète du poste

Youtube Video (Karrierewelten)

Together with our customers, we combine the real and digital worlds

With technology, software and services for smart buildings, we transform the everyday for everyone. By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people. It’s not just about improving buildings – it’s about creating efficient, safe, adaptable and sustainable environments, which improve the way the world lives and works.

The digital transformation of buildings is a fast-changing, dynamic sector, and it needs more than just great technology - it needs great people, too. We know a business only thrives if its people are thriving, so at Siemens we put our people first.

Within our buildings business, our diverse global team will support you through your career and challenge you to grow in new and exciting ways, as we transform the world’s infrastructure.

As a Data Scientist, you will turn data, domain knowledge, and advanced AI methods into scalable, measurable, and trustworthy capabilities for SI Buildings Product (SI B PRO). This is a high-impact role for a hands-on AI and data professional who wants to work at the center of a new team shaping how Generative AI, machine learning, and data-driven decision-making are applied across product development.

In this role, you will contribute to design, prototype, validate, and operationalize AI-enabled solutions across software and firmware development lifecycles. You will bring strong analytical, statistical, and machine learning expertise to transform complex engineering data into insights, models, evaluation frameworks, and reusable data products. Working at the intersection of data science, AI engineering and product development, you will help ensure that AI initiatives are not only innovative, but also robust, explainable, valuable for engineering teams, secure and compliant.

Would you also like to play an active role in influencing current trends and developments and make a positive impact on the lives of millions of people in Switzerland? Then you’ve come to the right place! Apply today for the position of AI Data Scientist – your team is looking forward to meeting you!

Your new responsibilities

Design, develop, and validate machine learning, Generative AI, and advanced analytics solutions that support product development, engineering productivity, quality improvement, cybersecurity, and decision-making across our SDLC
Support the development of AI-assisted and agentic capabilities across requirements engineering, architecture analysis, coding, testing, security, vulnerability management, release readiness, and lifecycle management by applying data science methods to real engineering workflows
Build prototypes, proof-of-concepts, and evaluation pipelines for LLM-based applications, RAG solutions, agentic workflows, classification models, prediction models, and AI-assisted engineering use cases, ensuring that feasibility, quality, and measurable value are assessed early and continuously
Identify, acquire, clean, structure, and enrich data from engineering toolchains, repositories, documentation, requirements, test systems, vulnerability sources, and enterprise platforms to make it usable for AI and analytics solutions
Define and implement evaluation approaches, performance metrics, validation methods, monitoring concepts, and quality criteria for AI models and GenAI applications, with attention to explainability, robustness, bias, privacy, security, and responsible AI principles
Create reusable datasets, embeddings, feature stores, notebooks, pipelines, model evaluation assets, and documentation that enable scalable adoption and repeatable delivery of AI capabilities across teams and use cases
Explore emerging AI, machine learning, data science, and GenAI techniques, frameworks, and tools, and assess their applicability for SI B PRO use cases in collaboration with the AI Core team and engineering stakeholders

Your talents and experience

Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Software Engineering, Physics, or a related technical field
Several years of hands-on experience in data science, machine learning, AI engineering, applied analytics, or related technical roles, ideally in engineering or industrial technology environments
Good understanding of data engineering foundations, including data pipelines, APIs, databases, versioning, data quality, metadata, and reproducible experimentation
Strong practical experience with programming languages and common data science and machine learning ecosystems, including data processing, model development, experimentation, evaluation, and visualization
Understanding of software and firmware development lifecycles, DevSecOps practices, cybersecurity considerations, and how AI can support engineering workflows in a secure and scalable way
Hands-on exposure to Generative AI solutions, including LLM-based applications, prompt engineering, embeddings, retrieval-augmented generation, evaluation of GenAI outputs, and ideally agentic AI workflows and experience with machine learning methods
Ability to work with complex and heterogeneous engineering data, such as requirements, source code metadata, test results, logs, documentation, vulnerability information, and lifecycle artifacts
Awareness of AI governance, privacy, responsible AI, model risk, explainability, and regulatory expectations relevant to enterprise AI adoption
Good communication and collaboration skills, with the ability to explain data science concepts to architects, product owners, engineers, cybersecurity experts, and business stakeholders
Fluent in English

Employee benefits

2–3 days per week of mobile working is standard
Mobility allowance
Varied further training opportunities
Access to employee share programs
Further information about employee benefits can be found here

Our corporate culture – your new working environment

The culture at Siemens Switzerland is more than just a working environment – it is at the heart of our day-to-day interactions and the key to our success. Siemens Switzerland offers a future-oriented working environment characterized by innovation, sustainability and personal development. We are characterized by personal responsibility, equal opportunities and diversity, to which every employee can contribute authentically. Flexible working models and remote working are a reality for us and enable our employees to achieve a good work-life balance. Learn more and find out if you are a good match with Siemens by taking our culture quiz!

News and stories

See for yourself how innovative technology can change the present. If you want to find out more about what projects can be implemented using Siemens technology, here are some current examples.

Frequently asked questions and contact information

Here you will find a collection of frequently asked questions and a way to contact us directly.

I look forward to receiving your application.

Nathalie
Talent Acquisition Partner

Your way to Siemens - How we hire

Information for recruitment agencies: Siemens is not accepting applications from recruitment agencies for this position. Thank you for your understanding.

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cybersecurity engineer emplois - zoug zg

AI Data Scientist 80-100%

Senior Security Developer, Google Threat Intelligence Group

Mobile Developer

Onsite Support Services Engineer

Product Cybersecurity Manager

OT Network and Cyber Security Engineer (m/f/x) 80 - 100%

Customer Engineer Security, Google Cloud Security Sales

IT Security Engineer

Senior Full-stack Java Software Engineer (m/w/d)

IAM Engineer (a)

Staff ML Engineer (Zürich)

Remote Sales Engineer / Kundenberater - Electrician Channel (w/m/d) 60-100%

IVVQ Engineer (m/w/d) – Systems Integration & Verification

Senior ML Engineer (Zürich)

Senior Application Engineer

Head of Engineering, AI Security (Zürich)

Specialist Systems Engineer - SASE (Zürich)

System Engineer (m/w/d)

Senior IAM Engineer

Chief Information Security Officer (CISO)

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : cybersecurity engineer (zoug zg)

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