Specialist Artificial Intelligence

General Civil Aviation Authority; Abu Dhabi; On-site; AED 220,000 - 320,000; Full time

Job summary

General Civil Aviation Authority is seeking an experienced AI/LLM specialist to lead the development, deployment, and optimization of large language models across cloud and on-premise environments. The role demands deep AI/ML expertise, strong Python programming, and hands-on experience with modern frameworks like Langchain and OpenAI tools.

The candidate will collaborate with cross-functional teams, ensure secure data handling, and continuously evaluate new AI advancements to enhance

Qualifications

• Bachelor's degree in IT with 5 years experience or Masters with 3 years experience
• Advanced AI/ML & LLM expertise with deep understanding of algorithms data structures and NLP
• Programming & Cloud proficiency in Python with TensorFlow PyTorch and NodeJS; deployment on AWS UAE region and local servers
• Data management and engineering with large datasets; model evaluation metrics
• Problem-solving, collaboration, and proactive technical mindset

Responsibilities

• Implement, manage and optimize LLMs including image processing and handwriting recognition
• Set up, deploy and manage LLMs on cloud services for scalable, secure, performant solutions
• Configure on-premise LLM deployment and integration with existing data infra
• Fine-tune and train LLMs for high-quality, contextually relevant outputs
• Troubleshoot and perform root-cause analysis for model training and deployment issues
• Collaborate with cross-functional teams to translate requirements into AI solutions
• Research and evaluate new AI advancements and best practices

Skills

Python

TensorFlow

PyTorch

NodeJS

Education

Bachelors degree in IT / Masters in CS/AI/ML

Tools

Langchain

OpenAI frameworks

AWS

Job description

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:
Bachelors 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: Bachelors/Masters 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 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.

Required Experience:

IC