AI/ML Intern (Project-Based )

We are looking for a curious and motivated Intern who can read, understand, explain, and assist in developing cutting-edge research papers in the field of generative AI. This role is perfect for students or early researchers who enjoy diving deep into academic papers and summarizing complex ideas in a clear and concise way. Key Responsibilities: Read and analyze recent research papers in computer vision (e.g., object detection, segmentation, generative models, vision transformers, etc.) Summarize key contributions, methodologies, and results from each paper. Create clear and concise write-ups or presentations to communicate insights with the team. Compare different approaches and suggest promising techniques for implementation Stay up to date with top conferences (CVPR, ICCV, ECCV, NeurIPS, etc.) In collaboration with the subject matter experts, you will assist in developing and implementing new use cases using artificial intelligence or machine learning. Qualifications: Must-have: Strong background in computer vision, machine learning, or a related field Familiarity with research papers and experience reading arXiv or conference papers Ability to explain complex technical concepts clearly and accurately Solid understanding of deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus, for implementation. Excellent communication skills – both written and verbal Good programming skills in Python You are an enrolled Master's student in the field of data science, (business) computer science, mathematics or a comparable course of study. Nice-to-have: portfolio of machine learning / Gen AI projects (e.g. on Kaggle, Github) What We Offer: Design your working hours to fit your semester schedule. You have the chance to contribute and implement your own ideas. Work in a motivated, diverse team and achieve great things together. Last but not least, you will gain a deep insight into the day-to-day business of the department.