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.
RESPONSIBILITIES:
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
REQUIREMENTS:
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 XavierY@charterhouse.com.sg for a confidential discussion.
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