Banking & Financial Services

SVP, Group AI / ML Architect

Job details

Location: Singapore
Job Type: Permanent
Reference: BF/XY/SVPGAIMLA/02112022C
Posted: 28 days ago
Consultant Phone: 6950 0368

Job description

​Rare opportunity to join an International Bank focusing on architecting the AI and ML infrastructure in the organization.

​Reporting to the Head of Projects, this role will be involved in working closely with business stakeholders to develop functional ML models from pre-production to post-production.


  • Fully involved in conceptualizing, developing, implementing and monitoring the ML infrastructure across the company

  • Point of contact for all ML-related matters especially for privacy & security, system integrations and operation issues

  • Focus will be on and highly scalable AI and ML architecture, in the area of fault tolerant deep learning designs with low biasness involved

  • Define the company’s SOPs in the areas of AI and ML frameworks, POCs and AI processes

  • Utilize and implement augmented and pre-trained ML models along with AI PaaS platforms on an end-to-end basis

  • Introduce AI and ML best practices that are relevant for retail and wholesale banking


  • Bachelor’s or Master’s in Computer Science, Computer Engineering or equivalent with at 8 years of hands-on experience implementing AI, ML and Data enterprise architecture

  • In-depth proficiency in Python, PyTorch and TensorFlow

  • Experience implementing MLOps tools for Banking or Financial Services sectors

  • In-depth implementation experience as the Lead Architect in at least one of the following data platforms

    • Databricks

    • Dataiku

    • DataRobot

    • Dataiku

    • AWS

    • Alteryx

  • PMP certification is optional but recommended

  • Must have strong stakeholder management experience liaising between business stakeholders and external vendors

Please contact Xavier Yap at +65 9779 1295 or for a confidential discussion.

EA License no: 16S8066 | Reg no.: R1980978

Only successful candidates will be notified.

Image 2022 02 26 T04 56 26
Image 2022 02 26 T04 56 26