AI Engineer Working Student / Intern (m/f/d)

YOUR TASKS • Collaborate with AI engineers and researchers to design, develop, and test machine learning and deep learning models. • Train and fine-tune deep learning models using real-world datasets tailored to specific use cases. • Contribute to the extension and optimization of our existing AI/ML infrastructure, including model training pipelines, evaluation tools, and deployment workflows. • Fine-tune and adapt Large Language Models (LLMs) and/or Vision-Language Models (VLMs) using domain-specific or customer-provided datasets. • Leverage the capabilities of LLMs/VLMs to build intelligent solutions that address diverse customer challenges, from natural language understanding to visual recognition tasks. • Engage in experimentation and research, exploring new techniques to enhance model performance and efficiency. • Document your work, communicate technical findings clearly, and contribute to internal knowledge sharing. YOUR PROFILE • Currently enrolled in a Bachelor's or Master’s degree program in Computer Science, Artificial Intelligence, Data Science, or a related field with a strong focus on AI/ML. • Solid foundation and hands-on experience with Python programming language and proficient in scientific computing libraries such as NumPy. • Strong understanding of Image Processing and Computer Vision concepts and experience using libraries such as OpenCV and Matplotlib. • Familiarity with core concepts of Machine Learning, including data preprocessing, model training, and evaluation. Practical experience with ML libraries such as Scikit-learn. • Knowledge of Deep Learning and Deep Learning architectures, such as: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, etc. Experience with PyTorch. • Familiarity with Large Language Models (LLMs) and Vision Language Models (VLMs) and their applications. • Strong verbal and written communication skills in English. HELPFUL ADDITIONAL QUALIFICATIONS Nice to have: • Experience with C/C++ programming, preferably in performance-critical applications. • Familiarity with advanced vision frameworks such as: Detectron2 and MMDetection. • Hands-on experience with the Hugging Face Transformers library. • Knowledge of Agentic AI systems and autonomous agents. • Experience working with LangChain and building LLM-based pipelines or applications. • Experience with fine-tuning LLMs and VLMs. • Experience with Amazon Web Services (AWS). • Experience with Web services. • Experience with Flask and FastAPI. • Experience with Docker. • Experience with MLOps and LLMOps. Apply Job! Apply to this Job