Mode of Employment: Limited; 16 hours/week
Develop what will be important tomorrow.
How will we travel, communicate, and use energy in the world of tomorrow? Work on the right answers with us. We are looking for bright minds – thinkers with a passion for practical matters. In short, people who can turn their questions and ours into exciting new discoveries. When you join our team as one of our working students, you will find many opportunities to get involved. Seize the chance to be part of our global network, make key contacts, and get your career as well as your personal life on the best track. Our teams are curious to meet you.
What part will you play?
1. Develop and implement AI/ML solutions using the Azure and AWS platforms, focusing on areas such as predictive analytics, natural language processing (NLP), fine-tuning large language models (LLMs), sentiment analysis, and topic modeling
2. Utilize Python and advanced data analysis libraries to derive actionable insights from complex datasets
3. Plan, implement, and optimize cloud-based services on Azure and AWS, with a focus on leveraging AI/ML services to enhance project outcomes
4. Integrate and manage databases, with a strong emphasis on Snowflake and SQL/MySQL, ensuring seamless data access and processing
5. Collaborate with experts to coordinate and manage sub-projects, driving innovation and efficiency
6. Develop questionnaires and prepare datasets to support data-driven decision-making
7. Contribute innovative ideas and support continuous improvement in projects and processes
What you need to make real what matters.
8. You are currently studying Computer Science, Data Science, Engineering, or a related field with a focus on AI/ML and data science
9. You have advanced skills in Python and experience with AI/ML technologies
10. Practical experience with Azure (including Azure AI/ML Studio) and AWS platforms and their services, including AWS Bedrock, is essential
11. Knowledge of Snowflake, SQL/MySQL, and a strong foundation in data science is a significant advantage
12. You are independent, meticulous, and dedicated, with a solid understanding of complex data relationships and analytical skills
13. Knowledge in app development and security issues is of advantage
14. Language Skills: Proficient in German and English
15. Availability for at least one year, excluding thesis periods and the activity requires on-site presence
Make your mark in our exciting world at Siemens.
if you wish to find out more about Siemens before applying.
As an equal-opportunity employer we are happy to consider .
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