AI Intern, Rail Technology

- Currently pursuing a Bachelors or Masters degree in Computer Science, Data Science, Electrical/Computer Engineering, Operations Research, Industrial Engineering, Applied Mathematics, or a related field. - Completed coursework in at least two subjects: machine learning, natural language processing, optimization/operations research, algorithms, databases, data structures, probability/statistics, or software engineering. - Practical experience using Python for data/ML (e.g., pandas, NumPy) and at least one ML/NLP library (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face). - Fundamental understanding of large language models (LLMs), including prompting, fine-tuning, and evaluation metrics (accuracy, grounding, latency, cost). - Familiarity with REST APIs, JSON, and microservice integration; capable of managing structured tool outputs. - Strong analytical thinking, effective written communication, and the capability to thrive in a dynamic, multidisciplinary team environment. - Preferred: Knowledge of optimization methods and experience with integrating AI into solvers/simulators. - Preferred: Background in building retrieval-augmented generation (RAG) pipelines, including vector stores and prompt management. - Preferred: Understanding of MLOps practices and containerization technologies such as Docker. - Preferred: Interest in transportation, rail logistics, supply chain, or cyber-physical systems.