Specialist - Artificial Intelligence General Civil Aviation Authority (GCAA)

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.