SENIOR MACHINE LEARNING ENGINEER / DATA SCIENTIST (F/M/D)

Digital value creator.
We have lots of ideas about how to successfully drive digitalization in companies.
For example, with open cloud platforms, highly developed security systems, and clever tools for developers.
What is your role in this? Move the world from behind the scenes with your IT expertise and passion for game-changing information technology.
Rethink IT and steer projects in completely new directions.
Be bold when others would have given up.
In short, play a key role in driving digitalization forward! We’ll provide the resources you need to do this.
We also offer a variety of opportunities to get involved and to be part of a global network of IT experts and professionals.
Welcome to our world!  Your problem-solving mindset creates real business value.
This is your role.
You are part of an international team of data scientists and machine learning engineers with diverse backgrounds, utilizing AI and data analytics methods to accelerate Siemens internal digitalization You interact regularly with internal customers across Siemens as project responsible and assist them in making business decisions Also, you support the full application lifecycle starting with first ideation workshops over successful prototypes until the go live of an enterprise-ready application You drive pragmatic approaches to solve complex business problems by leveraging your machine learning and NLP expertise You design and implement ready-for-production MLOps pipelines in Generative AI  You perform systematic qualitative and quantitative evaluation of the ML algorithms as well as establish software performance monitoring In addition, you are partner of diverse groups within Siemens, e.
., business, technology, information security, finance, risk, law, and compliance Use your skills to move the world forward.
The basis is a successfully completed university degree in Data Science, Computer Science, Computational Linguistics, Mathematics, Statistics, Physics, or a comparable field of study You have many years of professional experience in diverse backgrounds (e.
., industry, consultancy, or academia)  In addition, you have experience with cloud infrastructures and their tools for Machine Learning and NLP related tasks (e.
., Azure, AWS) You have first-hand experience of how to deploy, monitor and improve ML applications in production (MLOps and LLMOps) Furthermore, technical experience in big data analytics (e.
., Snowflake) is advantageous Sufficient knowledge of NLP techniques and the current state-of-the-art in conversational AI or previous practical experience with NLP / Generative AI projects you can demonstrate You are proficient in handling large amounts of data using various tools – all programming languages welcome, especially Python, R, SQL, terraform and Java or JavaScript Strong python proficiency and other programming languages, especially SQL, Java or JavaScript  You have already gained insights into cloud solution architecture, software development & engineering and have knowledge in GitLab and CI/CD You are familiar with Infrastructure-as-code tools like terraform Besides fluent English, you ideally also have German language skills.
Additional language skills are a further advantage Excellent technical understanding and software modeling skills combined with strategic thinking and clear customer-oriented communication form part of your profile What we offer.  2 to 3 days of mobile working per week as a global standard Attractive remuneration package Development opportunities for both personal and professional growth 30 leave days and a variety of flexible working models that allow time off for yourself and your family  Share matching programs to become a shareholder of Siemens AG Find more benefits  here Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and personal preferences.  Make your mark in our exciting world at Siemens.
As an equal-opportunity employer we are happy to consider  applications from individuals with disabilities.
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iemens.
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