AI, ML & Platform Engineering Leader

East West Banking Corporatio

Taguig

Hybrid

PHP 3,000,000 - 5,400,000

Full time

13 days ago
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Job summary

East West Banking Corporation’s Enterprise Data team seeks an experienced AI/ML Platform Engineering Head to lead the strategy, delivery, and operations of AI/ML platforms, data pipelines, and cloud-based services in Taguig.

You will drive DevOps, MLOps, and DataOps, ensure security and regulatory compliance, partner with Governance, Risk, IT, and Data Science teams, and build high-performing engineering teams to industrialize scalable data solutions.

Qualifications

  • Bachelor's degree in a relevant field; postgraduate studies advantageous.
  • 12–15 years in tech leadership with cloud data/AI/ML platforms.
  • Experience leading regulated banking/financial services tech teams.
  • Expertise in AI/ML infra, cloud-native architectures, MLOps, DataOps.

Responsibilities

  • Define and execute the strategic vision for AI/ML platforms.
  • Design scalable, secure cloud-based platforms for ML lifecycle.
  • Oversee platform operations, ensure high availability and SLAs.
  • Drive automation, CI/CD, MLOps, DataOps, and DevOps practices.
  • Collaborate with Technology, Risk, and Data Governance teams.
  • Build and mentor high-performing engineering teams.
  • Lead enterprise AI/ML adoption and scalable deployment.

Skills

Leadership
Cloud platforms
AI/ML infrastructure
DevOps
Data governance

Education

Bachelor's degree in Computer Science, Data Science, Engineering
Postgraduate studies inTechnology Management / AI / leadership

Tools

Databricks
Kubernetes
CI/CD tools
Observability tools

Job description

East West Banking Corporation’s Enterprise Data team seeks an experienced AI/ML Platform Engineering Head to lead the strategy, delivery, and operations of AI/ML platforms, data pipelines, and cloud-based services in Taguig.

You will drive DevOps, MLOps, and DataOps, ensure security and regulatory compliance, partner with Governance, Risk, IT, and Data Science teams, and build high-performing engineering teams to industrialize scalable data solutions.

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