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Software Development Engineer II

Job in Sharjah, UAE/Dubai
Listing for: NextGenEnergyJobs
Full Time position
Listed on 2026-07-10
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Computer Science
Salary/Wage Range or Industry Benchmark: 180000 - 300000 AED Yearly AED 180000.00 300000.00 YEAR
Job Description & How to Apply Below

Are you passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges?

Key Responsibilities
  • Develop tools, APIs and pretrained models for DL and LLM workflows for imagery
  • Develop foundation models for computer vision, language, location and multimodal data
  • Develop AI Agents / Assistants to perform various imagery tasks
  • Author and maintain samples showcasing AI/LLM applications in various ArcGIS platforms
  • Perform comparative studies of various AI architectures and their applications to solve complex problems using imagery
Requirements
  • 2+ years of experience with Python, in data science, deep learning, LLM
  • Self-learner with extensive knowledge of machine learning, deep learning and LLM
  • Expertise in one or more of the following areas:
    Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image in painting, and more) Transformer models applied to computer vision and natural language processing Development of AI assistants / Agents to perform specific tasks Building from the scratch / fine tuning, multi modal foundation models
  • Bachelor's degree in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges
  • Existing work authorization for UAE
  • Experience applying deep learning to satellite imagery or geospatial datasets
  • Familiarity with ArcGIS suite of products and concepts of GIS
  • Practical experience applying deep learning concepts from theory to code, evidenced by at least one significant project (internship, research, or personal portfolio)
  • Experience building and orchestrating multi-agent systems with tools like Lang Graph, paired with expertise in model fine-tuning, safety controls, and data-driven evaluation techniques to validate agent performance.
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