Energy-Efficient AI Readiness Consultant

Hammerjack Pty Ltd

Taguig

Hybrid

PHP 2,979,000 - 4,031,000

Part time

5 days ago
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Job summary

The Global Green Growth Institute (GGGI) invites applications for a Technology Readiness Consultant to support the Promoting Energy-Efficient AI Accelerator Technology in Data Centers for Climate Mitigation project in Manila. The assignment runs Sep 2026 – Dec 2026 (35 days), with hybrid work (home-based/on-site) and potential travel. End date: December 31, 2026.

Total fees: USD 5,000. You will assess readiness for the NPU-based AI accelerator technology, identify pilot opportunities, and

Qualifications

  • Degree in Engineering, Computer Science, Information Technology, Energy Management, or related field; advanced degree a plus.
  • 5–7 years of experience in technology assessment, energy efficiency, digital infrastructure, and AI computing systems.
  • Experience conducting feasibility assessments and engaging private sector stakeholders.
  • Excellent report writing and English communication skills.

Responsibilities

  • Perform market and stakeholder assessments for pilot readiness.
  • Conduct baseline energy and operational assessments of selected sites.
  • Assess technical readiness and deployment requirements for NPU technology.
  • Prepare Pilot Demonstration Concept Note and related deliverables.
  • Coordinate stakeholder workshops and present findings.

Skills

Technology assessment
Energy efficiency
Digital infrastructure
AI computing systems
Report writing
English proficiency

Education

Engineering
Computer Science
Information Technology
Energy Management
Advanced degree (plus)

Job description

The Global Green Growth Institute (GGGI) invites applications for a Technology Readiness Consultant to support the Promoting Energy-Efficient AI Accelerator Technology in Data Centers for Climate Mitigation project in Manila. The assignment runs Sep 2026 – Dec 2026 (35 days), with hybrid work (home-based/on-site) and potential travel. End date: December 31, 2026.

Total fees: USD 5,000. You will assess readiness for the NPU-based AI accelerator technology, identify pilot opportunities, and

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