As a **Consultant – Artificial Intelligence & New Technologies (Industrial AI) (f/m/d)**, you focus on embedding AI directly into operational and production environments.


**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](https://www.siemens.com/de/en/company/jobs/benefits-what-we-offer.html).
The individual benefits are subject to regulatory, contractual, or corporate conditions.
**How y****ou’ll make an impact**
We are looking for consultant who is passionate about applying AI to real-world operational challenges.
- Collaborate on **cross-functional projects** with consultants, domain experts, and clients, to set the foundational layer for AI transformation and build scalable and reliable AI applications in critical industrial areas such as Predictive Maintenance, Visual Quality Inspection, Process Optimization, Digital Twins, Industrial IoT analytics, and Generative AI for engineering and manufacturing workflows.- **Engage with clients** to translate complex operational and business needs into project approaches, technical solutions, and develop advanced AI models for the analysis of large-scale and high-dimensional industrial data (e.g., sensor data, machine logs, production parameters).- **Take ownership of software** components, making them reliable and scalable within OT/IT integrated environments, and help design the overall architecture for industrial AI solutions.- **Communicate** results to stakeholders of all **seniority levels** – from top management to plant operators & end users – ensuring clear understanding of AI's impact on industrial processes.- **Stay current with the latest research and technology trends** in Industrial AI, edge computing, and smart manufacturing to build state-of-the-art data-driven solutions.- **Enjoy project-related travel and work** on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.


**Your defining qualities**

- **Education**- An excellent university degree (master/diploma/PhD) in computer science, mathematics, physics, or related fields with a strong background in data science, machine learning or data engineering.

- **Experience & Skills**- You will need to be able to apply your hands on experience with IT-OT architectures for time series analyses, computer vision and/or recommender systems as well as experience with cloud-based AI solutions while knowledge of industrial standards (i.e. OPC-UA) and devices are a plus.- Relevant practical experience through at least two internships in a consultancy, a renowned industrial or tech company, or a start-up and a proven track record of excellence in consulting with data science, data engineering and cloud architecture, software engineering, industrial AI, or a related field.- Profound knowledge of core data science & machine learning programming languages (Python), Data Warehousing & Engineering (Focus Snowflake) and Cloud Platform Expertise (Focus Azure).- A high degree of curiosity, willingness to learn and innovate, social skills and team spirit as well as communication skills in English- You possess hands-on experience designing, developing, and deploying AI applications in operational or industrial environments (e.g., predictive maintenance, process optimization, IoT analytics).- Hands-on experience with AI applied to industrial data (time series, images, sensor data).- Experience with IT/OT architectures and cloud-based AI solutions; knowledge of industrial standards is a plus.- Strong communication skills, curiosity, and fluency in English.

- **Ways of working**- You enjoy project-related travel and work on exciting challenges at our customer’s sites, often within manufacturing plants, energy facilities, or smart infrastructure projects.


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](http://www.siemens.com/global/en/company/sustainability/social-commitments/belonging.html), we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.
**About us**
Are you looking for an opportunity to share/contribute your expertise while advancing your career?
At Siemens Advanta, you can become part of a forward-thinking/future-oriented team dedicated to guiding clients through their unique digital and sustainability transformation journeys. With our end-to-end solutions, we provide strategic advice and are a trusted implementation partner for digital and sustainability transformations at the enterprise level. By leveraging the power of Siemens businesses and its partners, we as Siemens Advanta help customers unlock the full value of Siemens technologies across their entire value chain. Headquartered in Munich, Germany, we have a global network of around 1,000 employees in 18 countries and 47 offices.
Are you ready to transform the everyday with us?
Find out more about our innovations and team:  https://www.siemens-advanta.com/
[www.siemens.de/careers](http://www.siemens.com/de/en/company/jobs.html) – if you would like to find out more about jobs & careers at Siemens.
[FAQ ](http://www.siemens.com/de/de/unternehmen/jobs/karrieren-entdecken.html) – if you need further information on the application process.