Design and deliver production-grade data pipelines
Implement llmops practices
Lead the design and hands-on delivery of China AICL capabilities, including AI‑ready data products, semantic/consumption layers, and orchestration patterns
Job Summary
Lead the design and hands-on delivery of China AICL capabilities, including AI‑ready data products, semantic/consumption layers, and orchestration patterns.
Drive the enablement of semantic and context layers as foundational AICL capabilities and guide the design of AI consumption and orchestration patterns.
Productionize ML/AI solutions by building training/inference pipelines, packaging, deployment, monitoring, and lifecycle management for models and AI services.
Matching Summary
Lead the design and hands-on delivery of China AICL capabilities, including AI‑ready data products, semantic/consumption layers, and orchestration patterns.
Skills & Requirements
Must-have
Lead end-to-end platform capability design
Design and deliver production-grade data pipelines
Implement LLMOps practices
Build and maintain Python services and APIs
Strong engineering discipline
Nice-to-have
Experience in regulated environments
Familiarity with enterprise governance models
Pragmatic decision-making under constraints
Key Requirements
8+ years in data/analytics platforms, data product, or AI enablement roles
Strong programming skills in Python
Hands-on experience developing ETL pipelines using Python + SQL
Familiar with modern engineering practices
Experience with cloud platforms (AWS/Azure/GCP)
Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field