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.
Job Description
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. Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Telecommunications

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