AI ENGINEER

BPI (Bank of the Philippine Islands); Makati; On-site; PHP 2,000,000 - 4,200,000; Full time

Job summary

Bank of the Philippine Islands is seeking an AI Engineer to design, develop, and deploy AI/ML solutions addressing business challenges in a banking context. The role builds scalable AI-powered applications using machine learning, data engineering, and cloud technologies while collaborating with cross-functional teams to drive value.

The ideal candidate has 5–7 years of experience in AI/ML in enterprise settings, strong Python skills, proficiency with TensorFlow and PyTorch, and hands-on

Qualifications

• Bachelor’s degree in a related technical field.
• 5–7 years of AI/ML experience in enterprise environments.
• Strong Python and ML framework proficiency.
• Cloud platforms and MLOps experience.
• Banking or financial services experience is a plus.

Responsibilities

• Design, develop, and implement AI/ML solutions using modern frameworks for business objectives.
• Build, train, validate, and optimize ML/DL models to improve accuracy and performance.
• Develop data pipelines and AI infra to support training, deployment, and monitoring.
• Deploy AI solutions into enterprise apps via APIs, microservices, and cloud platforms.
• Collaborate with stakeholders and teams to identify AI opportunities and drive innovation.

Skills

Python

TensorFlow

PyTorch

Cloud platforms

MLOps

APIs

Microservices

Containerization

Data engineering

Education

Bachelor’s degree

Job description

The AI Engineer is responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that address business challenges and automate processes. The role builds scalable AI-powered applications by leveraging machine learning, generative AI, data engineering, and cloud technologies while collaborating with cross-functional teams to drive business value.

Responsibilities

• Design, develop, and implement AI and machine learning solutions using modern frameworks and technologies to support business and operational objectives
• Build, train, validate, and optimize machine learning and deep learning models to improve accuracy, performance, and scalability
• Develop and manage data pipelines, data processing workflows, and AI infrastructure to support model training, deployment, and monitoring
• Deploy and integrate AI solutions into enterprise applications using APIs, microservices, and cloud-based platforms
• Collaborate with business stakeholders, data scientists, and technology teams to identify opportunities, solve complex problems, and drive innovation through AI initiatives

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
• At least 5 to 7 years of experience in designing, developing, and implementing AI, machine learning, or data-driven solutions in enterprise environments
• Strong proficiency in Python, machine learning frameworks such as TensorFlow and PyTorch, and AI technologies including generative AI and large language models
• Experience with cloud platforms (AWS, Azure, or Google Cloud), data engineering, MLOps practices, APIs, microservices, and containerized application deployment
• Strong analytical, problem-solving, communication, and collaboration skills; banking or financial services experience is an advantage