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SISiemens AG

Working Student Leveraging Generative AI along the Software Development Lifecycle(m/w/x)

Garching bei München
Part-timeWorking StudentWith Home Office
AI/ML
Data Science

Design and development of generative AI solutions for software engineering research at industrial technology group. Enrollment in a Master’s program for Data Science or Computer Science and Python proficiency required. Hybrid work model, flexible hours for exam periods.

Requirements

  • Ongoing studies in Data Science, Computer Science, or related AI/ML field
  • Proficiency in Python and familiarity with TensorFlow or PyTorch
  • Interest in staying updated on generative AI advancements
  • Enrollment in Master’s program in Data Science, Computer Science, or related field
  • Proficiency in Python; knowledge of Java or C++ is a plus
  • Hands-on experience with LLMs, prompt engineering, vector databases, or fine-tuning
  • Familiarity with TensorFlow, PyTorch, and scikit-learn
  • Strong analytical and problem-solving skills
  • Attention to detail
  • Excellent teamwork and communication abilities
  • Very good written and oral English skills (C1)
  • German skills are an advantage

Tasks

  • Design and develop generative AI solutions
  • Enhance the software development lifecycle
  • Assist in data collection and preprocessing
  • Analyze data for model training and validation
  • Implement and optimize machine learning algorithms
  • Apply Python, TensorFlow, or PyTorch frameworks
  • Participate in code reviews and testing
  • Debug AI-powered applications throughout the SDLC
  • Document code, processes, and results
  • Facilitate knowledge sharing within the team
  • Research recent advancements in generative AI

Education

Currently in higher education

Languages

EnglishBusiness FluentGermanBasic

Tools & Technologies

PythonTensorFlowPyTorchJavaC++Large language modelsVector databasesscikit-learn

Benefits

Flexible Working

  • Hybrid work
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