Specialist - Artificial Intelligence at UAE General Civil Aviation Authority (GCAA)

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/LLM Development, Cloud Services, On-premise Deployment, Model Fine-tuning, API Integration, OpenAI Technologies, Langchain, Network Monitoring, Data Pre-processing, Data Augmentation, Security Solutions, Python, TensorFlow, PyTorch, AWS Cloud

Industry

Airlines and Aviation

Description

AI/LLM Development & Deployment • Implement, manage, and optimize Large Language Models (LLMs), including those for specialized tasks like image processing and handwriting recognition. • Expertly setup and deploy LLMs on cloud services, ensuring scalable, secure, and performant solutions. • Configure, deploy, and manage LLMs on local servers, ensuring seamless integration with existing on-premise infrastructure and data. • Fine-tune and train LLM models to deliver high-quality, accurate, and contextually relevant outputs tailored to specific business needs. • Conduct thorough troubleshooting and root cause analysis for issues encountered during AI model training, deployment, and operation. • Integrate AI models and local APIs with both external systems and internal applications, ensuring smooth data flow and functional synergy. • Design and develop AI models and solutions leveraging such as OpenAI technologies where appropriate, while also focusing on open-source AI frameworks such as Langchain. AI Network & Infrastructure • Develop and implement robust platforms for the monitoring, analysis, and diagnosis of large-scale AI/LLM networks to ensure operational stability and performance. • Research, evaluate, and develop high-performance AI communication frameworks and network protocols to push the boundaries of AI capabilities. Contribute to building the next-generation AI network infrastructure capable of supporting large-scale heterogeneous network hardware. Data Management & Security • Pre-process and clean large datasets rigorously to ensure data quality and suitability for training AI models. • Apply data augmentation techniques to enhance model robustness and performance. • Create and manage local LLMs, ensuring all sensitive data is securely stored in local databases in compliance with organizational policies. • Deploy and manage endpoint security solutions relevant to AI application interfaces and data access, minimizing security risks. Collaboration & Research • Work closely with cross-functional teams to understand business requirements and translate them into effective AI solutions. • Continuously research and evaluate new AI advancements, tools, and best practices, proactively recommending improvements. • Contribute to the continuous update and enhancement of the IT knowledge base, particularly for AI-related topics. Knowledge and Experiences: • Bachelor’s degree in IT with 5 years’ experience in a similar function, or Masters’ degree with 3 years’ experience, or as defined in the JD Matrix. Advanced AI/ML & LLM Expertise: Bachelor's/Master's in Computer Science/AI/ML, with deep understanding of AI algorithms, data structures, deep learning, NLP, and proven experience in developing and deploying Large Language Models (LLMs) using open-source (e.g., Langchain) and OpenAI frameworks. • Programming & Cloud Proficiency: Expert in Python, with experience in .Net, TensorFlow, PyTorch, and NodeJS, coupled with hands-on experience deploying AI/LLMs on AWS Cloud (UAE Region) and local servers. • Data Management & Engineering: Proficient in pre-processing, cleaning, and augmenting large datasets for model training, alongside strong understanding of model evaluation metrics. • Problem-Solving & Collaboration: A proactive approach to technical challenges, excellent analytical skills, and strong teamwork and communication abilities.

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Responsibilities

This role is responsible for the end-to-end implementation, deployment, and optimization of Artificial Intelligence, especially Large Language Models (LLMs), for specialized tasks like image processing and handwriting recognition. Key duties include configuring LLMs on cloud and local servers, fine-tuning models, and integrating AI solutions with existing systems.