AI Data Engineer , Marketplace Intelligence & Data (2027 Graduate)
Core
Build an efficient closed loop for data iteration and establish an end-to-end data system spanning data sourcing, labeling, processing, synthesis, and evaluation to drive the development of AI models and applications.
Role type
AI Data Engineer (Large Model & Multimodal Data)
Builds
High-quality datasets, evaluation sets, multimodal data assets, and data infrastructure for large model development.
Domain
E-commerce, Large Language Models (LLM), Multimodal AI, AIGC
Deliverable
production ML models
Required skills
Python, Java, SQL, Big Data Processing (Spark/Flink/Ray), Data Structures & Algorithms, Large Model Fundamentals (LLM/Diffusion/VLM), Agent Fundamentals (Tool Use/Memory/Multi-turn), Data Quality Assessment
Preferred skills
Large-scale data processing (TB–PB), Data Warehouse Dimensional Modeling (Kimball/OneData), Model Evaluation/Benchmarking (VBench/ELo/GSB/Langfuse)
Technologies
Python, Java, SQL, Spark, Flink, Ray, LLM, Diffusion, T2V, CLIP, VLM
Responsibilities
Design and implement high-performance, scalable, and distributed data infrastructure covering the full lifecycle; Design audio-visual multimodal training data strategies and build multimodal data asset repositories; Build a 'data–model–evaluation' closed loop with Agents; Track and land cutting-edge techniques in the large-model data domain.
Seniority
Graduate (2027)
