AI Research Strategist — Deep Learning & Model Benchmarking

Globe Telecom

Pateros

On-site

PHP 1,200,000 - 2,000,000

Full time

14 days+
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Job summary

Globe Telecom in the Philippines is seeking an AI Engineer - Deep Learning Research (Expert) to identify emerging AI opportunities, evaluate new models, and shape the organization’s AI direction through evidence-based research and portfolio recommendations.

This role supports decision-making across the AI ecosystem by producing objective comparisons of models, vendor offerings, and deployment patterns, and collaborates with AI Engineering, AI FDE, Architecture, Operations, and governance teams

Qualifications

  • Strong analytical judgment
  • Structured research capability
  • Hands-on understanding of LLMs and AI infrastructure
  • Ability to translate technical findings into clear business and executive recommendations

Responsibilities

  • Monitor the AI landscape for new models, platforms, vendors, tools, techniques, and research developments.
  • Maintain a model landscape covering leading closed-source, open-source, and locally hosted model options.
  • Evaluate vendor claims and conduct structured benchmarks of AI models and platforms.
  • Assess fit-for-purpose use of models for selected enterprise workloads, including open or locally hosted options.
  • Design and run controlled experiments, translate findings into recommendations, and support governance and reporting.
  • Design and develop prototypes and experimental AI solutions that can be transitioned to production.
  • Provide regular technical updates and findings to FDE for solution shaping.
  • Support the organization’s commitment to equal opportunity and inclusion in the hiring process.

Job description

Globe Telecom in the Philippines is seeking an AI Engineer - Deep Learning Research (Expert) to identify emerging AI opportunities, evaluate new models, and shape the organization’s AI direction through evidence-based research and portfolio recommendations.

This role supports decision-making across the AI ecosystem by producing objective comparisons of models, vendor offerings, and deployment patterns, and collaborates with AI Engineering, AI FDE, Architecture, Operations, and governance teams

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