About
The company is seeking an AI Specialist to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will work closely with the Software Development Lead, Data & Architecture team, and a team of international experts, developers, and engineers.
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Responsibilities
- Support the Software Development Lead and Data & Architecture team in designing the AI Assistant architecture for the Operational Digital Twin, including selection and deployment of LLM models in an isolated environment.
- Assist in preparing and curating training and grounding data required for LLM fine-tuning or domain adaptation, ensuring compliance with security and data-governance requirements.
- Help implement, fine-tune, and evaluate LLMs to support Digital Twin use cases without any internet connectivity.
- Support integration of the AI Assistant with the Digital Twin platform and enterprise systems, including design of prompt pipelines and retrieval-augmented generation using internal data sources.
- Assist in implementing monitoring, evaluation, and guardrails for AI Assistant behaviour, and in troubleshooting issues related to accuracy, performance, and user experience.
- Help prepare documentation and usage guidelines for the AI Assistant, support demonstrations and user-training sessions, and contribute to knowledge transfer and handover to client and operations teams.
Requirements
- Degree in computer science, data science, AI, engineering, or a related technical discipline from an accredited institution.
- Experience implementing AI/ML solutions with a strong focus on Large Language Models.
- Working knowledge of LLM concepts and techniques, including fine‑tuning and prompt engineering.
- Experience deploying models in controlled environments, with an understanding of constraints associated with no internet connectivity.
- Basic understanding of geospatial and asset/operations data, or ability to rapidly learn domain structures.
- Exposure to integrating AI services with applications and APIs.
- Experience working within multidisciplinary, multinational teams across multiple time zones.
- Strong organisational and coordination skills, with some experience in structured project environments.
- Excellent communication and documentation skills, with the ability to clearly explain AI concepts to non‑technical stakeholders.
- Fluency in spoken and written English; Arabic language skills are a strong advantage.
Desired Skills
- Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations.
- Professional certifications in data science, AI, or cloud data/AI services.
Location
QA - Doha
