AI Engineer

1 week ago


Dubai, Dubai, United Arab Emirates الهيئة العامة للطيران المدني بدولة الإمارات Full time
Job Description

We are seeking a highly skilled AI Engineer with a strong background in machine learning and large language models (LLMs) to join our team at General Civil Aviation Authority of the United Arab Emirates.

Key Responsibilities:
  1. Implement and Manage LLMs: Design, develop, and deploy LLMs for image processing, including handwriting recognition, to enhance our aviation services.
  2. Cloud and Server Deployment: Set up and deploy LLMs on AWS Cloud (UAE Region) and local servers, ensuring high availability and scalability.
  3. API Integration: Integrate local APIs with external and internal systems, facilitating seamless data exchange and processing.
  4. Model Training and Fine-Tuning: Fine-tune and train LLM models to ensure high-quality output, meeting our aviation industry standards.
  5. Troubleshooting and Issue Resolution: Troubleshoot and resolve issues during model training and deployment, minimizing downtime and ensuring business continuity.
  6. Network Infrastructure Development: Design and deploy high-speed network technologies for AI/LLM applications, supporting our growing aviation infrastructure.
  7. Monitoring and Analysis: Develop platforms for monitoring, analysis, and diagnosis of large-scale AI/LLM networks, enabling data-driven decision-making.
  8. Research and Development: Research and develop high-performance AI communication frameworks and network protocols, staying ahead of industry trends.
  9. Next-Generation Infrastructure: Build next-generation AI network infrastructure to support large-scale heterogeneous network hardware, ensuring our aviation services remain competitive.
  10. AI Model Development: Design and develop AI models using OpenAI technologies, integrating them into our existing systems and applications.
  11. Local LLM Management: Create and manage local LLMs, storing data in local databases, and ensuring data security and compliance.
Qualifications:
  1. Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  2. Technical Expertise: Deep understanding of AI algorithms, data structures, and software development principles, with knowledge of Langchain, OpenAI, and open-source AI frameworks.
  3. Experience: Proven experience in developing and working with large language models, with a strong foundation in machine learning concepts and techniques, including deep learning architectures and NLP.
  4. Programming Skills: Proficiency in programming languages such as Python,.Net, TensorFlow, PyTorch, and NodeJS.
  5. Data Preprocessing: Expertise in pre-processing and cleaning large datasets for training models, with familiarity with data augmentation techniques and model evaluation metrics.
  6. Deployment Experience: Experience in deploying language models in production environments, with strong teamwork and communication skills to collaborate with cross-functional teams.
  7. Problem-Solving: A proactive approach to identifying and solving challenges in language model development, with a portfolio showcasing previous language model projects a plus.

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