Machine Learning Engineer Graduate (Global E-Commerce, …, Singapore

The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI-powered conversational system that provides instant, intelligent, and seamless support for global e-commerce platforms. By leveraging LLMs and NLP, we are building an AI customer service system that can understand user queries, resolve disputes, guide transactions, and enhance the overall shopping experience without the need for human intervention.

Your role will involve developing, optimizing, and deploying AI-driven customer support systems to handle complex user inquiries while ensuring high response accuracy and reliability.

• Build and optimize AI-driven customer service models capable of handling high-volume, complex user inquiries while ensuring high response accuracy and reliability.
• Implement LLM post-training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses.
• Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses.
• Enhance the platform’s AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication.
• Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization.
• Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently.
• Work on model compression, inference optimization, and edge AI deployment to ensure real-time, high-quality customer service experiences at scale.

• Completing or having recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Experience with software development in at least one of the following programming languages: C++, Python, Go, Java.
• Good sense of teamwork and communication skills; practical experience in relevant business scenarios is preferred.

• Experience in fine-tuning, distillation, or reinforcement learning of large language models for conversational AI applications.
• Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling.
• Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to enhance AI service design.
• Strong grasp of advanced NLP and deep learning concepts such as AI agents, retrieval-augmented generation, mixture of experts, sparse attention, reinforcement learning, and inference time scaling for improving AI dialogue quality.
• Experience in distributed model training, low-latency inference, and edge AI for large-scale customer service applications.