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AI Software Developer

Job in Abu Dhabi, UAE/Dubai
Listing for: GAL Global Aerospace Logistics
Full Time position
Listed on 2026-02-13
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

We are an Emirati company focused on creating a balanced, expert workforce, specialising in aviation services, for the UAE.
Come join us today!

JOB DESCRIPTION & REQUIREMENTS

AI Software Developer

True Published on 12/01/2026

Overview

AI Software Developer is responsible to design, develop, and deploy intelligent software solutions using Artificial Intelligence (AI), Machine Learning (ML), and data-driven technologies. The role focuses on building scalable AI applications that enhance automation, decision-making, and operational efficiency across business systems.

Duties and Responsibilities
  • Design, develop, test, and deploy AI-powered software applications.
  • Build and optimize Machine Learning and Deep Learning models.
  • Develop APIs and backend services to integrate AI models into enterprise systems.
  • Work with structured and unstructured data for model training and evaluation.
  • Implement Natural Language Processing (NLP), Computer Vision, or Predictive Analytics solutions as required.
  • Optimize model performance, accuracy, scalability, and security.
  • Collaborate with data scientists, system architects, and business stakeholders.
  • Maintain documentation for AI models, code, and system architecture.
  • Monitor AI systems in production and improve models continuously.
  • Ensure compliance with data privacy, cybersecurity, and ethical AI standards.
Communications
  • Strong communication and documentation skills.
  • Ability to work in cross-functional teams.
  • Proactive mindset and continuous learning attitude.
Other Factors
  • Experience with LLMs, Transformers, or Generative AI.
  • Knowledge of AI governance, explainability, and ethical AI.
  • Cloud or AI certifications.
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