AI Application Engineer

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

Job Description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

The AI Application Engineer is responsible for researching and developing new AI technologies, models, and systems that support the company’s strategic goals. This role requires a deep understanding of machine learning, natural language processing, computer vision, and other AI disciplines. The engineer will work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to develop AI-powered solutions and integrate them into various products and services.

Duties And 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

KPIs

• R&D Output and Innovation: The contribution to AI innovation by the number of prototypes developed, and proof-of-concepts (POCs) completed.
• Successful Deployment of AI Solutions: The number of AI-powered solutions, particularly Generative AI and productivity-enhancing applications, successfully deployed in production environments.
• Collaboration & Knowledge Sharing: Participation in cross-functional teams and contribution to knowledge sharing initiatives, such as internal AI toolkits, training sessions, or the AI democratization program.
• Impact on Customer Experience: The performance and customer satisfaction improvements driven by AI applications.
• Productivity Improvements: The percentage increase in organizational productivity or efficiency resulting from AI-driven automations and process optimizations.

Top 3-5 Deliverables

• Development and Deployment of a Generative AI-based Solutions
• AI-powered Productivity Tools for Internal Operations
• Customer Experience Enhancement via AI
• AI-based Telecom Network Optimization Solutions
• AI Innovation and Research Contributions

Hiring Requirements

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.
• Experience: Minimum of 3-5 years of hands-on experience in AI/ML, with a focus on developing models and solutions for productivity, customer experience, and/or telecom networks.
• Technical Expertise: Strong proficiency in AI tools, frameworks, and techniques, with proven experience in applying AI to real-world problems in a business or research context.
• Preferred Background: Experience in the telecommunications industry or related fields where AI is applied to network optimization and customer-facing solutions is a strong advantage.

Equal Opportunity Employer

Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.