As a Werkstudent at DOS Software-Systeme GmbH, you'll dive into the exciting world of Machine Learning and Generative AI, supporting innovative software solutions while balancing your studies. This role offers practical experience in developing AI models and contributing to real-world projects in a dynamic tech environment.

DOS Software-Systeme GmbH is seeking a motivated Werkstudent to join our team in the Machine Learning & Generative AI department. In this role, you will assist in the development and implementation of AI-driven features for our software products, focusing on areas such as predictive modeling, data analysis, and generative content creation.

Your responsibilities will include collecting and preprocessing datasets, training machine learning models, and experimenting with GenAI techniques to enhance user experiences in our applications. You will collaborate closely with our engineering and data science teams to integrate AI solutions into existing systems, troubleshoot issues, and contribute to research initiatives aimed at advancing our technological capabilities.

This position is ideal for students passionate about AI who want to apply theoretical knowledge in a practical setting. We offer a supportive environment with opportunities for growth, including code reviews, workshops, and exposure to industry best practices. Join us to help shape the future of intelligent software at DOS Software-Systeme GmbH.

• Enrollment in a relevant degree program in Computer Science, Data Science, or a related field
• Basic knowledge of machine learning concepts and tools like Python, TensorFlow, or PyTorch
• Familiarity with Generative AI frameworks and natural language processing
• Strong analytical skills and eagerness to learn
• Good communication skills in German and English
• Availability for 15-20 hours per week

• Flexible working hours to accommodate your studies
• Hands-on experience with state-of-the-art AI technologies
• Mentorship from experienced professionals in the field
• Opportunity to work on impactful projects in software development
• Competitive compensation and potential for future full-time roles
• Access to company resources and training programs