AI Research & Strategy Engineer (Deep Learning)

Globe Telecom

Pateros

On-site

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

Full time

11 days ago

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Job summary

Globe Telecom is seeking an AI Engineer - Deep Learning Research (Expert) to identify emerging opportunities, evaluate models, and shape the organization’s AI direction through evidence-based research and portfolio recommendations. The role bridges enterprise strategy and technical reality, assessing what to adopt, monitor, test, or discard.

Collaboration with AI Engineering, AI FDE, Architecture, Operations, and governance teams is essential.

Qualifications

  • Strong analytical judgment and structured research capability.
  • Hands-on understanding of LLMs and AI infrastructure.
  • Ability to translate technical findings into clear business and executive recommendations.
  • Experience evaluating models, benchmarks, and vendor claims.

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 and comparative evaluations of AI models and platforms.
  • Assess fit-for-purpose use of models for enterprise workloads, including when smaller/open/locally hosted models are better.
  • 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.

Skills

Analytical reasoning
Structured research
LLMs
AI infrastructure
Executive communication
Vendor evaluation
Experiment design

Job description

Globe Telecom is seeking an AI Engineer - Deep Learning Research (Expert) to identify emerging opportunities, evaluate models, and shape the organization’s AI direction through evidence-based research and portfolio recommendations. The role bridges enterprise strategy and technical reality, assessing what to adopt, monitor, test, or discard.

Collaboration with AI Engineering, AI FDE, Architecture, Operations, and governance teams is essential.

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