G+D Netcetera
Information Technology and Services
SummerInternship-MachineLearning
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“Summer Internship - Machine Learning at G+D Netcetera. Skills: Machine Learning, LLM, AI. Contribute to projects. Work with technologies”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
Successfully completed third year of studies, Below the age of 34
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Contribute to projects
Work with technologies
Gain cloud experience
Participate in meetings
Participate in discussions
Participate in knowledge sharing
How You'll Work.
Team & Collaboration
Experienced professionals; Team-oriented environment; Team coordination meetings
Communication Scope
Present results
Full Job Description
G+D Netcetera invites applications for the 2026 Summer Internship Program. The program offers interns the opportunity to gain hands-on experience by contributing to real projects and working with modern technologies in a professional and supportive environment. As an intern, you will: * Contribute to ongoing, real-world projects * Work with modern technologies and tools * Receive guidance and continuous support from a dedicated mentor * Collaborate with experienced professionals across teams You will benefit from a structured onboarding process, access to necessary equipment, and participation in learning initiatives and internal training programs. At G+D Netcetera, we value collaboration, knowledge exchange, and diversity, and we are committed to providing interns with a meaningful and growth-oriented experience. **Eligibility criteria:** Due to legal limitations, we are only able to offer internships to applicants below the age of 34. Applicants must have successfully completed their third year of studies to be eligible. **Valid until 16.06.2026** ### **Your Tasks** **Learn and build AI solutions in a selected specialization** * Gain hands-on experience in areas such as agentic systems, document processing, multi-modal LLM applications, or AI-enabled payment workflows * Design, implement, test, and improve LLM-powered workflows using tools, APIs, structured data, and external systems * Work with concepts such as RAG, prompt engineering, tool use, agent orchestration, evaluation, and guardrails * Apply relevant machine learning and deep learning techniques for tasks such as natural language processing, predictive modeling, embedding-based retrieval, and model evaluation * Use AI coding tools such as OpenCode and GitHub Copilot while learning best practices for reviewing, testing, and maintaining AI-generated code * Gain practical experience with cloud-based AI services on platforms such as Azure or AWS * Perform ad-hoc analysis, document your findings, and present
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