Responsible for the architecture design and development of the e-commerce search system, ensuring high performance, scalability, and reliability.
Explore and apply cutting-edge technologies in Natural Language Processing (NLP), Deep Learning, and Generative AI to improve search relevance, precision, and recall.
Responsible for the design and development of retrieval, machine learning, and data pipeline architectures, including indexing, feature engineering, model training, big data processing, and streaming computation components.
Qualifications
Bachelor's or Master's degree in Computer Science.
Proficiency in one or more programming languages such as Java(required), Python, or C++.
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
Solid understanding of data structures, algorithms, and distributed systems.
Strong problem-solving skills, analytical thinking, and attention to detail.
