Big Data Analytics In Transporta­tion @TU Dresden Hiring! Full Time Junior AI Engineer - AI Analyst in - Ricebowl

Role Description This is a full-time hybrid role based in Singapore, with the flexibility to work from home for part of the time. The Junior AI Engineer / AI Analyst will support the design, implementation, and evaluation of AI models and data-driven solutions focused on transportation and mobility data. Day-to-day tasks include collecting, preprocessing, and analyzing large datasets, building and testing machine learning and neural network models, and assisting in the development of software components that integrate AI features. The role also involves contributing to research experiments, documenting methodologies and results, and collaborating with senior team members to refine algorithms, improve performance, and prepare reports or presentations for internal and external stakeholders.

Qualifications

• Strong foundation in Computer Science and Software Development, including experience with programming languages commonly used in AI and data analytics (e.g., Python, Java, or similar).
• Knowledge of Pattern Recognition and Neural Networks, with the ability to design, train, and evaluate machine learning models for real-world data.
• Familiarity with Natural Language Processing (NLP) techniques and tools, especially for analyzing text data related to transportation and economics.
• Understanding of data analytics and statistical methods, with experience handling large datasets and using libraries or frameworks such as pandas, NumPy, or scikit-learn.
• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Engineering, Mathematics, or a related field; relevant internships or academic projects in AI or transportation analytics are an advantage.
• Ability to work in a hybrid setting, collaborate effectively in diverse teams, communicate findings clearly, and document technical work in a structured manner.
• Interest in mobility, transportation, and economic data, with a willingness to learn new techniques and adapt to evolving project requirements.