AI ENGINEER

Bank of the Philippine Islands (BPI); Makati; Vor Ort; PHP 1.200.000 - 2.400.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

ML/DL modeling

TensorFlow

PyTorch

Cloud computing

Data pipelines

MLOps

Ausbildung

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

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Docker

Kubernetes

Jobbeschreibung

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