Senior AI Engineer – FinTech: Real-Time ML & LLM Pipelines

DJRecruit Asia; Hong Kong; Sur place; HKD 446 000 - 893 000; Plein temps

Résumé du poste

DJRecruit Asia is seeking an experienced AI/ML Engineer for FinTech applications in Hong Kong. You will design, build, and deploy scalable AI/ML models, including LLM pipelines, to support fraud detection, risk scoring, and personalized wealth solutions.

You will collaborate with engineering, data, and business teams to translate goals into high-performing technical solutions, ensure data governance and regulatory compliance, and stay ahead of industry standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Quantitative Finance, Data Science, or a related field.
• Proven experience building and deploying ML/DL models in FinTech/banking/trading environments.
• Strong hands-on in Python, PyTorch/TensorFlow, SQL, and financial data frameworks.

Responsabilités

• Architect, develop, and productionize scalable AI/ML models, LLM pipelines, and predictive analytics engines for financial operations.
• Optimize data pipelines for real-time financial data processing, risk modeling, and market behavior analytics.
• Develop agentic workflows and automated decision frameworks for banking workflows and compliance checks.
• Collaborate with product managers and quantitative stakeholders to translate business goals into technical solutions.
• Ensure AI systems meet data governance, explainability (XAI), and HKMA regulatory guidelines.

Connaissances

Python

PyTorch

TensorFlow

SQL

NLP

LLMs

RAG architectures

Cloud platforms

Docker

Kubernetes

MLOps

XAI

HKMA compliance

Formation

Bachelor’s degree in Computer Science

Master’s degree in Data Science

Outils

AWS

GCP

Azure

Description du poste

DJRecruit Asia is seeking an experienced AI/ML Engineer for FinTech applications in Hong Kong. You will design, build, and deploy scalable AI/ML models, including LLM pipelines, to support fraud detection, risk scoring, and personalized wealth solutions.

You will collaborate with engineering, data, and business teams to translate goals into high-performing technical solutions, ensure data governance and regulatory compliance, and stay ahead of industry standards.