Generative AI Engineer for Productivity & Telecom Ops

Globe Telecom; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Globe Telecom is seeking an AI Application Engineer in the Philippines to research and develop Generative AI technologies, and to build AI-powered solutions that enhance productivity and customer experience across telecom products and services. The role requires collaboration with data scientists, software engineers, and business stakeholders to deliver scalable AI systems.

Candidates should have 3–5 years of hands-on AI/ML experience, strong knowledge of NLP and CV, and a background in applying

Qualifications

• Deep understanding of machine learning, NLP, and computer vision.
• Experience building AI-powered solutions for productivity or user experience.
• Ability to work with data scientists, software engineers, and business stakeholders.

Responsibilities

• Conduct research and development on Generative AI.
• Develop AI-driven applications to enhance productivity.
• Enhance customer experience through AI solutions.
• Apply AI technologies to optimize telecom network operations.
• Collaborate with business units to tailor AI solutions.
• Stay at the forefront of AI advancements.
• Prototype and test AI models for real-world applications.
• Ensure scalability and performance of AI models.
• Collaborate on AI projects with external partners.
• Contribute to AI democratization and internal knowledge sharing.

Skills

AI/ML proficiency

NLP & CV knowledge

Cross-functional collaboration

Prototyping & PoCs

Education

Bachelor's or Master's in CS/AI/DS/EE

Related field emphasis

Tools

TensorFlow/PyTorch

ML libraries

Job description

Globe Telecom is seeking an AI Application Engineer in the Philippines to research and develop Generative AI technologies, and to build AI-powered solutions that enhance productivity and customer experience across telecom products and services. The role requires collaboration with data scientists, software engineers, and business stakeholders to deliver scalable AI systems.

Candidates should have 3–5 years of hands-on AI/ML experience, strong knowledge of NLP and CV, and a background in applying