AI/ML Engineering Manager - Lead & Scale Production AI

Chinabank PH; Philippines; On-site; PHP 1,800,000 - 2,600,000; Full time

Job summary

Chinabank PH seeks an AI/ML Engineering Manager to lead a team responsible for building, deploying, and scaling AI and ML solutions in a banking context. You will blend hands-on technical leadership with people management to deliver production-ready models and scalable ML platforms.

You will partner with data science, data engineering, IT, and architecture teams to translate research into secure, scalable deployments across cloud, on-premise, and hybrid environments while mentoring engineers and

Qualifications

• Bachelor's degree in a relevant field (CS/DS/Math/Engineering).
• 5+ years in ML engineering, data science, or software engineering.
• 2+ years leading or managing technical teams.
• Experience deploying ML models in production environments.

Responsibilities

• Lead day-to-day AI/ML engineering operations, including sprint planning and delivery management.
• Guide engineers in building, deploying, and maintaining ML models and AI applications.
• Oversee feature engineering pipelines, deployment workflows, and enterprise integrations.
• Drive engineering best practices through code reviews, testing, and documentation.
• Collaborate with Data Science teams to turn research into production-ready solutions.
• Build and maintain ML deployment pipelines, automation processes, and platform reliability.
• Work with IT, architecture, and infra teams to support cloud, on-premise, and hybrid environments.
• Monitor model performance, deployment stability, and operational readiness.
• Mentor AI/ML engineers and foster a culture of innovation and learning.

Skills

Python

Leadership

Stakeholder management

Agile delivery

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

CI/CD

Git

TensorFlow

PyTorch

Scikit-learn

Job description

Chinabank PH seeks an AI/ML Engineering Manager to lead a team responsible for building, deploying, and scaling AI and ML solutions in a banking context. You will blend hands-on technical leadership with people management to deliver production-ready models and scalable ML platforms.

You will partner with data science, data engineering, IT, and architecture teams to translate research into secure, scalable deployments across cloud, on-premise, and hybrid environments while mentoring engineers and