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AI Engineering

Globe Telecom

AI Engineering

full-timePosted: Aug 14, 2026Updated: Sep 3, 20269F The Globe Tower

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. Job Description Build and maintain Finance application, analytics, and automation use-cases by applying AI-augmented development as part of standard deliveryRESPONSIBILITIESBuild and scale reusable data products that serve repeat demand across portfoliosApply AI-assisted development to code, testing, documentation, and workflow automationDesign and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoringSupport credit risk model work, particularly IFRS 9 ECL validation and data lineageTranslate business needs from Finance into technical solutions and actionable recommendationsESSENTIAL SKILLSPython and SQL at production grade -- modular code, testing, error handlingSoftware engineering fundamentals -- version control, code review, CI/CDETL and orchestration experience at production scaleDemonstrated AI-assisted delivery -- not just tool familiarityDepth in one cloud data platform; Databricks preferredProduct mindset -- builds for the next user, not just the requester; documentation and handover as defaultSTRONG ADVANTAGECredit risk domain -- portfolio behaviour, collections, provisioning, IFRS 9 ECLTelco or regulated financial services deliveryPlatform administration across AWS, GCP, or DatabricksResponsible AI practice -- data classification, redaction boundaries, model governanceEqual Opportunity EmployerGlobe’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 hereMake 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.

Locations

  • 9F The Globe Tower

Responsibilities

  • Build and scale reusable data products that serve repeat demand across portfolios
  • Apply AI-assisted development to code, testing, documentation, and workflow automation
  • Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring
  • Support credit risk model work, particularly IFRS 9 ECL validation and data lineage
  • Translate business needs from Finance into technical solutions and actionable recommendations
  • ESSENTIAL SKILLS
  • Python and SQL at production grade -- modular code, testing, error handling
  • Software engineering fundamentals -- version control, code review, CI/CD
  • ETL and orchestration experience at production scale
  • Demonstrated AI-assisted delivery -- not just tool familiarity
  • Depth in one cloud data platform; Databricks preferred
  • Product mindset -- builds for the next user, not just the requester; documentation and handover as default
  • STRONG ADVANTAGE
  • Credit risk domain -- portfolio behaviour, collections, provisioning, IFRS 9 ECL
  • Telco or regulated financial services delivery
  • Platform administration across AWS, GCP, or Databricks
  • Responsible AI practice -- data classification, redaction boundaries, model governance
  • Equal Opportunity EmployerGlobe’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.

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