
Erforderliche Skills
Stellenbeschreibung
Siemens Healthineers hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Erlangen bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen.
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Beschreibung bereitgestellt von Siemens Healthineers
Job Requirements
Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.
We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?
Then come and join our global team as Working Student (f/m/d) to support within the field AI, Data Science & AI Agents.
Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.
This position is part-time with a minimum of 15h/week.
Job location: z.B. Karlheinz-Kaske Street 5, 91052 Erlangen
Your Tasks And Responsibilities
- Together with us you will develop AI agents and AI-based applications
- You support the implementation of AI and data science projects
- You will help us to build prototypes using large language models and generative AI technologies
- With the team you will develop retrieval-augmented generation solutions using internal knowledge sources
- You will work with embeddings, vector databases, and semantic search technologies
- You help us to integrate AI services and data sources through APIs
- You support the testing, evaluation, and documentation of AI solutions
- You contribute to the introduction of new AI technologies and development standards
- Additionally together with us you will help us to manage source code and project documentation using GitHub or comparable platforms
To find out more about the specific business, have a look at https://www.siemens-healthineers.com/products-services
Your Qualifications And Experience
- You are currently enrolled in Data Science, Computer Science, Artificial Intelligence, Business Informatics, or a comparable degree program
- You are at least for one year available
- You have experience in developing AI agents, AI-based applications, or machine learning solutions and basic understanding of large language models, embeddings, and vector databases
- Ideally you are familiar with retrieval-augmented generation and semantic search
- Knowledge of Python, SQL, or comparable programming languages is a plus
- Ideally you experience with Git, GitHub, or comparable version-control platforms
- Basic understanding of APIs, JSON, and the integration of different systems and data sources is an advantage
Your Attributes And Skills
- You have very good English skills, German is a plus
- You work independently, in a structured way, and with a solution-oriented mindset
- You have a strong interest in experimenting with new AI technologies
- You have knowledge of data analysis and data modeling? Then we look forward to receiving your application!
Our Global Team
Siemens Healthineers is a leading global medical technology company. 74,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.
Our Culture
Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success.
Check our Careers Site at https://careers.siemens-healthineers.com/global/en
As an equal opportunity employer, we welcome applications from individuals with disabilities.
Wish to find out more before applying? Contact us: [email protected], if you wish to discuss any initial questions with our recruitment team.
We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.
To All Recruitment Agencies
Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
Wichtiges für Werkstudierende
Was diese Werkstudentenstelle im Bereich Tech in Erlangen für dich bedeutet: die Wochenstundenregeln, die Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.
Wochenstunden
Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.
Werkstudenten-RegelnSozialabgaben
Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.
Versicherung prüfenInternationale Studierende
Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.
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