Senior AI Engineer: Scalable ML, GenAI & Cloud

Bank of the Philippine Islands (BPI); Makati; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

The Bank of the Philippine Islands (BPI) is seeking an AI Engineer to design, develop, and deploy AI/ML solutions that automate processes and address business challenges. You will build scalable AI-powered applications using ML, data engineering, and cloud technologies in collaboration with cross-functional teams.

Responsibilities include creating models, data pipelines, and AI infrastructure; deploying AI via APIs and microservices; and driving AI initiatives with stakeholders.

Qualifications

• Bachelor's degree in CS/Engineering/DS/Math or related field.
• 5–7 years of AI/ML experience in enterprise environments.
• Strong Python proficiency with ML frameworks (TensorFlow, PyTorch).
• Experience with cloud platforms (AWS/Azure/GCP), data engineering, MLOps, APIs, microservices, containerized deployment.
• Banking or financial services experience is advantageous.

Responsibilities

• Design, develop, and implement AI/ML solutions to support business objectives.
• Train/validate/optimize models for accuracy and scalability.
• Develop and manage data pipelines and AI infrastructure for training, deployment, and monitoring.
• Deploy and integrate AI solutions into enterprise apps using APIs, microservices, and cloud platforms.
• Collaborate with stakeholders, data scientists, and tech teams to drive AI initiatives.

Skills

Python

ML/DL modeling

TensorFlow

PyTorch

Cloud computing

Data pipelines

MLOps

Education

Bachelor's degree in CS/Engineering/DS/Math

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Docker

Kubernetes

Job description

The Bank of the Philippine Islands (BPI) is seeking an AI Engineer to design, develop, and deploy AI/ML solutions that automate processes and address business challenges. You will build scalable AI-powered applications using ML, data engineering, and cloud technologies in collaboration with cross-functional teams.

Responsibilities include creating models, data pipelines, and AI infrastructure; deploying AI via APIs and microservices; and driving AI initiatives with stakeholders.