Machine Learning Engineer

Actively Hiring

Full-time Posted 7 months ago

Responsibilities

check_circle Develop machine learning (ML) models for fraud detection and risk prediction.
check_circle Conduct feature engineering, data analysis, and A/B testing to improve model performance.
check_circle Deploy real-time decision algorithms supporting global business operations.
check_circle Build and maintain real-time risk decision engines and monitoring pipelines to detect and respond to emerging threats.
check_circle Collaborate with cross-functional teams to integrate ML-driven solutions into production.
check_circle Explore new algorithms and technologies to strengthen global risk control capabilities.

Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related technical field.
3+ years of professional experience as a machine learning engineer or applied research scientist in risk control or fraud detection.
A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.
Strong programming skills in Python, with experience using TensorFlow or PyTorch.
Demonstrated ability to work independently with minimal guidance; proactively manage tasks and priorities across multiple projects; analyze and execute work efficiently; collaborate effectively with cross-functional teams; and thrive in fast-paced, results-driven environments.
Effective communication skills in Chinese and English.

Experience in e-commerce or fintech risk management (e.g., cross-border fraud, credit scoring).
Experience with UK and European business environments.

check_circle A dynamic and challenging work environment in a leading global e-commerce company.
check_circle The opportunity to work with a diverse international team and make a significant impact on JD.com’s global presence.
check_circle A competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.

Machine Learning Ai