Grupo Universal Textil Hiring! Full Time Junior AI Engineer - AI Analyst in - Ricebowl

Role Description This full-time Junior AI Engineer / AI Analyst role at Grupo Universal Textil is based in Singapore in a hybrid arrangement, combining on-site collaboration with partial work-from-home flexibility. The role focuses on supporting the design, development, and deployment of AI solutions to improve textile production processes, quality control, and operational efficiency. Day-to-day responsibilities include collecting, cleaning, and organizing data; building and testing machine learning models; and assisting in the implementation of pattern recognition and predictive analytics tools. The position involves collaborating with software developers and domain experts to integrate AI models into existing systems, documenting workflows and results, and monitoring model performance. The Junior AI Engineer / AI Analyst will also assist with exploratory research, contribute to technical reports and presentations, and stay current with developments in AI and machine learning relevant to the textile industry.
Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and software development practices.
• Knowledge of machine learning concepts, including Pattern Recognition and Neural Networks, and their practical applications.
• Familiarity with Natural Language Processing (NLP) techniques and tools, or willingness to develop these skills.
• Proficiency in one or more programming languages commonly used in AI (e.g., Python, Java, or C++), and experience with relevant libraries or frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with data (e.g., data cleaning, feature engineering, basic statistical analysis) and using SQL or similar tools.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent practical experience.
• Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document work thoroughly.
• Strong problem-solving mindset, attention to detail, and willingness to learn industry-specific processes and technologies.