Machine Learning Engineer / Data Scientist (m/f/d)

Key Skills

AWS, Azure, Big Data Technology, Cloud computing, Python Programming, R Programming, Snowflake, SQL

Job Description

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.
• 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
• You are partner of diverse groups within Siemens, e.g., business, technology, information security, finance, risk, law, and compliance.

Use your skills to move the world forward. 

• You have 3-5 years of professional experience (diverse backgrounds welcome, e.g., industry, consultancy, academia etc.) and a strong academic background (degree in Data Science, Computer Science, Computational Linguistics, Mathematics, Statistics, Physics, or a comparable field of study)
• 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. 
• You have knowledge of NLP techniques and the current state-of-the-art in conversational AI or previous practical experience with NLP / Generative AI projects.
• You have already gained insights into cloud solution architecture, software development & engineering and have knowledge in GitLab and CI/CD.
• You have experience with cloud infrastructures and their tools for Machine Learning and NLP related tasks (e.g., Azure, AWS, etc.)
• Technical experience in big data analytics (e.g., Snowflake) is a plus.
• You have first-hand experience of how to deploy, monitor and improve ML applications in production.
• Excellent technical understanding and software modeling skills combined with strategic thinking and clear customer-oriented communication form part of your profile.
• You are fluent in English and ideally have German language skills; additional languages are a plus.