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AI Machine Learning EngineerGAL · Abu Dhabi Emirate, United Arab Emirates
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GAL

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AI Machine Learning Engineer

🗓️ Posted 2026-10-05 Abu Dhabi Emirate, United Arab Emirates Full-time Hybrid ICT
💰 Salary Not shared 📊 Market AED 20,000–AED 35,000/mo

About the Company

GAL is a provider of professional aerospace services, based in Abu Dhabi, the capital of the United Arab Emirates. GAL was established in 2007 and has grown to over 4,000 employees. We are 100% UAE owned, and boast a best-in-class benchmark of having Emirati nationals comprising over 25% of our workforce. Our aim is to become the Middle East's leading provider of aviation maintenance, repair, overhaul and specialised support services through excellence in service quality, safety, reliability, value and customer focus. With years of experience coordinating both military and commercial logistics, our team is capable of addressing customer needs with agility and precision. GAL has expanded its client base and now holds several maintenance and integrated logistics services contracts across the UAE. We continue to expand our support capabilities to local and regional customers through the following: Partner with industry leaders Collaborate with industry leadership Engineer innovative technology Our services include, but are not limited to: Aircraft maintenance & technical services Manpower outsourcing solutions Logistics & supply chain services Command level advisory support Specialised training solutions Air defence maintenance & technical support services Modifications & upgrade management Supply chain management Export compliance Aviation and Aerospace Component Manufacturing Specialties: Aerospace component manufacturing, Professional aerospace services, UAE national employment, Aircraft maintenance and support

About the Role

Global Aerospace Logistics (GAL) is seeking a talented and driven AI Machine Learning Engineer to join our AI and Digital Transformation team. This role is responsible for designing, developing, deploying, and maintaining machine learning solutions that drive operational efficiency, automation, and data-driven decision making across the organization.

Responsibilities

  • ● eholders to build scalable AI applications and bring machine learning models into production environments.
  • ● Design, build, train, and deploy machine learning models.
  • ● Develop scalable data pipelines and feature engineering workflows.
  • ● Productionize AI and machine learning solutions.
  • ● Deploy models through APIs, microservices, and cloud platforms.
  • ● Monitor, retrain, and optimize model performance.
  • ● Implement MLOps practices including CI/CD, model versioning, and monitoring.
  • ● Ensure data quality, security, and compliance requirements are met.
  • ● Document AI systems, models, and technical workflows.
  • ● Collaborate across multidisciplinary teams to deliver AI initiatives.

Requirements

  • ● Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field.
  • ● Strong programming skills in Python.
  • ● years of experience in Machine Learning, Data Science, or Software Engineering.
  • ● Minimum 2 years of hands-on experience deploying machine learning models into production.