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AI/ML Engineer - Financial Services

Data Engineering and Analytics, Infrastructure & Cloud

14 February 2025

Hong Kong

We are working with a leading organization in supporting the AI/ML Platform (TB PB Scale) for their Digitalisation Team. The AI/ML Engineer will be responsible for development and operation of cutting-edge AI/ML platforms, ensuring their security, performance, and reliability.

 

Key Responsibilities:

  • Participate in the development of AI/ML platforms, including monitoring, logging, and deploying a range of applications—proprietary, open-source, or in-house.

  • Develop and integrate services with internal and external APIs.

  • Assess and implement new technologies to enhance our infrastructure’s performance, scalability, and maintainability.

  • Provide insights into the structure, status, and performance of the AI/ML platform.

  • Collaborate with architects, platform engineers, and product owners to deliver software within a continuous delivery framework.

  • Partner with data scientists and business stakeholders to support the development and deployment of analytics and machine learning models.

 

Qualifications:

  • A bachelor's degree in computer science, software engineering, or a related discipline.

  • At least 3 years of experience in developing AI/ML platforms.

  • Solid foundation in software engineering and system design.

  • Preferred experience with DataOps/MLOps in large-scale enterprise settings.

  • Advantageous familiarity with deploying extensive data infrastructures (scaling to hundreds of terabytes).

  • Beneficial experience with public cloud services such as AWS, Azure, or AliCloud.

  • Familiarity with technologies including:

    • Infrastructure: Docker, Terraform, Kubernetes

    • AI/ML Platforms: Jupyter, MLflow, Ray

    • Data Engineering: Airflow, Spark

    • CICD Tools: Jenkins, JIRA, Sonar, Git, Ansible

    • Test Frameworks: jMeter, jUnit, PyTest

  • Experience in international team environments, with a good grasp of the financial services industry, is a plus.

  • Excellent communication skills and a strong inclination towards data-driven analysis.

  • Strong capabilities in team management and problem-solving; self-driven, innovative, and with a proven track record in leading company-wide initiatives.

 

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Hanson Tsien at resume@pinpointasia.com and put AI/ML Engineer - Financial Services in the subject header.

 

Data provided is for recruitment purposes only.

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