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Working Student (f/m/d) Leveraging Generative AI along the Software Development Lifecycle (SDLC)

Working Student (f/m/d) Leveraging Generative AI along the Software Development Lifecycle (SDLC)

Working Student (f/m/d) Leveraging Generative AI along the Software Development Lifecycle (SDLC)

Working Student (f/m/d) Leveraging Generative AI along the Software Development Lifecycle (SDLC)

Siemens

Industrie und Maschinenbau

Garching bei München

  • Art der Beschäftigung: Studierende
  • Hybrid
  • Zu den Ersten gehören

Working Student (f/m/d) Leveraging Generative AI along the Software Development Lifecycle (SDLC)

Über diesen Job

Working Student (f/m/d) Leveraging Generative AI along the Software Development Lifecycle (SDLC)

Job ID
496890
Organization
Foundational Technologies
Tätigkeitsbereich
Internal Services
Unternehmen
Arbeitsmodell
Hybrid (Mobiles Arbeiten/ Arbeiten vor Ort)
Vertragsart
Befristet
Standort(e)
  • Garching - Bayern - Deutschland

Mode of Employment: Fixed Term / Part-Time; 20 hours / week

Are you passionate about shaping the future of AI? Join us as a Working Student Leveraging Generative AI along the Software Development Lifecycle (f/m/d) in Garching and work side by side with our experts to develop innovative AI solutions, drive research, and make a real impact!

You'll make an impact by

  • You support the team in designing and developing generative AI solutions that enhance the software development lifecycle, leveraging your ongoing studies in Data Science, Computer Science, or a related AI/ML field
  • As you collaborate with senior AI developers, you assist in data collection, preprocessing, and analysis to ensure robust model training and validation
  • Building on this, you implement and optimize machine learning algorithms and models, applying your proficiency in Python and familiarity with frameworks like TensorFlow or PyTorch
  • Subsequently, you participate in code reviews, testing, and debugging to maintain the quality and reliability of AI-powered applications throughout the SDLC
  • Finally, you document code, processes, and results, facilitating knowledge sharing and contributing innovative ideas by staying updated on recent advancements in generative AI

This is how you'll win us over

  • Education : You are currently enrolled in a Master’s program in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Experience and Skills :
    • You are proficient in Python; knowledge of Java or C++ is a plus
    • You have hands-on experience with large language models, prompt engineering, vector databases, or fine-tuning
    • You are familiar with popular machine learning frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn
  • Ways of Working : You demonstrate strong analytical and problem-solving skills, attention to detail, and excellent teamwork and communication abilities
  • Languages : You possess very good written and oral English skills (C1); German skills are an advantage

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 , we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

About Us

With its +2,000 employees, Siemens Foundational Technology (FT) works hand in hand with the company’s business units to ensure Siemens’ future. FT conducts research with internal and external partners, including leading universities and promising start-ups. Join us in enhancing efficiency, sustainability, and performance in software engineering in collaboration with European research programs and Siemens Business Units.

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.

FAQ – if you need further information on the application process.

If you have any further questions, please feel free to contact us: www.siemens.com/fragenzurbewerbung

Unternehmens-Details

company logo

Siemens

Industrie und Maschinenbau

10.001 oder mehr Mitarbeitende

München, Deutschland

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