20 beste Stellen als applied ai, senior/staff forward deployed machine learning engineer in münchen, by – aktuell auf Personalsuche

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applied ai, senior/staff forward deployed machine learning engineer jobs near münchen, by

Senior Legal Counsel (f/m/d) AI Law

Siemens -
München

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit
vor 1 Tag

Qualifikationen

Cyber Security
Künstliche Intelligenz

Vollständige Stellenbeschreibung

The evolution of Artificial Intelligence presents both opportunities and legal challenges. With your focus on AI Law, you will be a critical advisor, guiding our product development, business strategies, and research initiatives through this dynamic landscape and help to develop our Industrial AI offerings. You will play a pivotal role in ensuring that Siemens' AI innovations are not only technologically outstanding but also legally sound, ethically responsible, and follow emerging global regulations.

Why Siemens?

Impact: Work on ground breaking AI technologies that are shaping the future of industries worldwide.
Growth: Continuous learning and development opportunities in a multifaceted and intellectually stimulating environment.
Culture: Join a diverse, inclusive, and collaborative team that values innovation and ethical leadership.
Benefits: Competitive compensation and benefits, and a dedication to work-life balance.

Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

How you'll make an impact:

Strategic AI Legal Counsel: Partner with teams across Siemens to provide practical legal guidance on a broad range of AI-related matters, including:
Regulatory Compliance: Navigate and advise on evolving AI regulations, ethical guidelines, and industry standards across various jurisdictions, with a primary focus on the EU.
Data Strategy & Licensing: Counsel on sophisticated data acquisition, licensing, usage, governance, privacy, and security issues pertinent to AI model training, deployment, and operation.
Intellectual Property: Advise on IP ownership, licensing, and protection strategies for AI-generated content, algorithms, and models.
Product Development: Embed legal considerations into the invent, development, and deployment lifecycle of AI-powered products and services.
Risk Management: Identify, assess, and mitigate legal risks associated with AI, including bias, discrimination, accountability, and liability.
Commercial Transactions: Draft, review, and negotiate agreements involving AI technologies, partnerships, and vendor relationships.
Cross-Functional Collaboration: Partner closely with engineering, product management, research & development, data science, cybersecurity, and business development teams to integrate legal compliance into AI initiatives from conception to launch.
Policy & Advocacy: Monitor and analyze legislative and regulatory developments in AI law, contributing to internal policy development and external advocacy efforts as needed.
Training & Education: Develop and deliver training programs for internal stakeholders on AI legal risks, best practices, and compliance requirements.

Your experience and strengths:

Education

Qualified lawyer in an EU/EEA jurisdiction, the UK, or Switzerland

Experience & Skills
- Minimum 5 years of relevant legal experience gained at a top-tier law firm or in-house legal department, with a strong focus on technology law
- Proven experience advising on AI technologies and related legal matters, ideally within a multinational technology or AI company
- Strong understanding of data privacy regulations (e.g., GDPR) and their application in AI contexts
- Knowledge of intellectual property rights related to software, data, and AI solutions
- Excellent analytical, communication, and stakeholder management skills, with the ability to translate complex legal topics into practical guidance for technical and business audiences
Ways of working
- Proactive, collaborative, and solution-oriented mindset
- Ability to manage multiple priorities and projects simultaneously
- Comfortable working in a dynamic, innovative, and evolving environment
- Strong ability to work independently while building effective partnerships across functions and teams
Languages

Fluent English required; additional European languages are considered a plus

Extra experience we'd value:

Experience with open-source AI models and their legal implications
Background in software engineering, data science, or a related technical field
Experience in a regulated industry (e.g., healthcare, industrial automation, finance) where AI is being applied

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.

As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.

FAQ – if you need further information on the application process.

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applied ai, senior/staff forward deployed machine learning engineer Jobs in münchen, by

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Ich möchte aktuelle Job-E-Mails für Stellen als applied ai, senior/staff forward deployed machine learning engineer in münchen, by erhalten

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