Job Description

Job ID
481065
Posted since
08-Oct-2025
Organization
Smart Infrastructure
Field of work
Information Technology
Company
Siemens AG
Experience level
Experienced Professional
Job type
Full-time
Work mode
Hybrid (Remote/Office)
Employment type
Permanent
Location(s)
Erlangen - Bayern - Germany Are you passionate about driving the transformation of our global manufacturing network towards data-guided operations? Join our team and play a key role in bringing industrial AI to the shopfloor.

What we offer you

An attractive remuneration package Access to Siemens share plans 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family 2 to 3 days of mobile working per week as a global standard Flexible training opportunities for both your professional and personal development that you can tailor to your interests

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.

You’ll make a difference by

Leading digitalization and AI projects together with our factories that range from developing custom solutions to the evaluation and introduction of third party offerings. You are responsible for analyzing our manufacturing, machine and process data to provide insights that build a real impact in regards of efficiency, quality, and delivery performance. You are in close contact with our factories, solve their business requirements and needs, and develop and conduct ideation workshops. Within our manufacturing network, you promote a data-first mentality, establish architecture, processes and tools that facilitate data science and data analytics implementation. You bring industrial AI to the shopfloor, including machine connectivity and data engineering, as well as MLOps in our cloud-native manufacturing data platform and model execution on the shopfloor using our industrial edge portfolio.

This is how you'll win us over

You have a Master's degree in Data Science and many years of experience in manufacturing and digitalization. You have a good understanding of manufacturing processes, machines and IoT Data (PCBA and cabinet production), and know how to handle real world data with all its attached challenges. You have hands-on experience in the field of machine learning and data science, especially regarding computer vision, generative AI, time series analysis and knowledge graphs. Experience with AWS portfolio and MLOps is a plus. You have the ability to communicate sophisticated data science topics to all levels clearly and engagingly, from the process engineering up to our management, think, act, and work creatively and challenge the status quo. Interpersonal skills to work effectively with multi-functional worldwide teams and partners at all levels, and proficiency in German and English complete your profile.

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!


Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

About us

At Smart Infrastructure Electrification & Automation Smart infrastructure - Siemens Global, our mission is to develop innovative and sustainable solutions that save energy and reduce the carbon footprint of buildings, infrastructure, and industries. We enable the transition to a sustainable energy system, while ensuring a reliable and affordable energy supply. That's why we are committed to creating a greener future and transforming the way we live and work.


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.