AI Jobs in Philippines: Opportunities, Skills, and How to Land One

Overview of AI Job Market in the Philippines

The market for AI jobs in the Philippines is expanding rapidly as companies across sectors adopt machine learning and automation. Manila has become a central hub for AI hiring, with tech startups, BPOs transforming into intelligent process services, fintechs, health tech and e commerce tapping AI talent. There are also growing remote opportunities with international employers, increasing demand for roles such as data scientists, machine learning engineers and AI product managers. Government initiatives, academic programs and private accelerators are supporting upskilling programs, creating a pipeline of local talent. Expect continued growth over the next few years as more organizations invest in data infrastructure and AI solutions.

Top AI Roles, Skills and Salary Expectations

Common AI job titles in the Philippines include Data Scientist, Machine Learning Engineer, Data Engineer, NLP Engineer, MLOps Engineer and AI Product Manager. Employers typically look for skills like Python, SQL, statistics, machine learning frameworks such as TensorFlow and PyTorch, cloud platforms including AWS and GCP, and experience with data pipelines and model deployment. Soft skills such as communication, domain knowledge and product thinking are highly valued. Salary ranges vary by city, company and experience. As a rough guide, entry level roles may start around 300 000 to 600 000 PHP annually, mid level roles roughly 600 000 to 1 500 000 PHP, and senior or specialized positions can exceed 1 500 000 PHP. Remote roles with international companies can command higher pay depending on the employer and skillset.

How to Break into AI — Education, Portfolios, and Networking

To land an AI job in the Philippines, combine formal education with hands on projects. Useful paths include degrees in computer science or engineering, bootcamps, and online courses from platforms like Coursera or Udacity. Build a portfolio of projects on GitHub and compete on Kaggle to demonstrate practical skills. Pursue relevant certifications such as TensorFlow Developer Certificate or cloud certifications from AWS or GCP. Network with local tech communities in Manila and other hubs, attend meetups and career fairs, and leverage job boards like JobStreet, Kalibrr and LinkedIn. Consider internships or BPO reskilling programs to gain industry experience, and tailor your resume to highlight real world impact and deployed models. Continuous learning and showcasing end to end projects will set you apart.