AI Platform Engineer
Summary
Maintain and support enterprise AI platforms, cloud-native environments, and data pipelines for a leading Hong Kong financial institution, ensuring reliability and enabling AI/ML operations.
Our client is a leading financial institution in Hong Kong, investing significantly in AI, cloud technologies, and enterprise platform modernization. We are seeking a hands-on AI Platform Engineer to support and maintain enterprise AI platforms, data platforms, and cloud-native environments. This role focuses on production support, platform operations, data pipeline reliability, and AI platform enablement.
This is an exciting opportunity to work at the intersection of AI, cloud, and platform engineering, partnering with AI Engineers, Data Engineers, and Infrastructure teams to deliver enterprise-grade AI solutions.
Why Join?
Join a leading financial institution driving enterprise AI adoption and innovation.
Play a key role in building and supporting the foundation for next-generation AI services.
Work with modern technologies including Kubernetes, CI/CD, Cloud Infrastructure, Infrastructure as Code, and AI platforms.
Partner with high-caliber AI, Data, and Engineering teams on strategic transformation initiatives.
Own and drive automation, platform reliability, and operational excellence across critical environments.
Gain exposure to large-scale, enterprise-grade systems within a highly regulated and technology-driven organization.
Excellent opportunity to develop expertise in AI platform operations, MLOps, DevOps, and cloud-native technologies.
Key Responsibilities
Provide Level 1 and Level 2 support for AI platforms, data platforms, and cloud-native applications
Monitor and maintain production environments, ensuring platform stability and availability
Support incident management, troubleshooting, root cause analysis, and problem resolution
Support deployment, release management, system upgrades, and change implementation
Monitor data pipelines, ETL processes, model services, and platform health
Support AI/ML lifecycle operations and collaborate with Data Scientists and AI Engineers
Maintain system documentation, operational procedures, runbooks, and support records
Identify automation opportunities to improve operational efficiency and platform reliability
Requirements
2+ years of experience in Platform Support, Application Support, Cloud Operations, MLOps, Data Engineering, or Data Platform environments
Strong experience supporting production systems within enterprise environments
Experience supporting cloud platforms such as AWS, Azure, or Alibaba Cloud
Experience with data platforms and pipeline technologies including Airflow, Spark, PySpark, Databricks, Hive, Iceberg, or Kafka
Strong troubleshooting, analytical, and communication skills