AI Application Engineer

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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 Artificial Intelligence
• 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

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.

Skills

Soft

• Problem-solving and Analytical Thinking: Ability to tackle complex problems and create innovative solutions using AI techniques.
• Collaboration and Teamwork: Experience working in cross-functional teams, collaborating with stakeholders from different areas (e.g., product, engineering, and operations).
• Communication Skills: Ability to explain technical concepts to non-technical audiences and create clear documentation of AI models and solutions.
• Adaptability and Continuous Learning: Willingness to keep up with the latest AI research and quickly adapt to new tools, models, and methodologies.

Hard

• AI/ML Expertise: Proficiency in machine learning algorithms, neural networks, natural language processing, and computer vision. Experience with GenAI models is a plus.
• Programming Languages: Expertise in Python, R, and frameworks like TensorFlow, PyTorch, or Keras.
• Data Engineering and Analytics: Experience with data processing, feature engineering, and working with large datasets in cloud environments (e.g., AWS, GCP).
• AI System Integration: Familiarity with integrating AI models into production systems, including API development and system architecture.
• Telecom Network Knowledge: Understanding of telecom network technologies and how AI can be applied to optimize networks, particularly for predictive maintenance and traffic management.
• AI/ML Certifications/Licenses is not mandatory, but is a plus

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.

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries
• Telecommunications

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