About the Role
Are you passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges? So are we! At the R&D Center in Sharjah, UAE, we are applying cutting-edge AI, deep learning, and LLM techniques to revolutionize geospatial analysis and derive insight from imagery data. Our team develops Deep Learning and LLM models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning.
As a Software Development Engineer, you will develop foundational and task-specific deep learning and LLM models for various modalities of GIS data, including satellite imagery. If you are passionate about AI applied to remote sensing and imagery, and enjoy developing AI applications, this is the place to be!
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Responsibilities
- Develop tools, APIs, and pretrained models for DL and LLM workflows for imagery
- Develop foundational 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
- 1+ years of experience using Python in data science, deep learning, and 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 inpainting, etc.)
- Transformer models applied to computer vision and natural language processing
- Development of AI assistants/Agents to perform specific tasks
- Building from scratch/finetuning 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
Recommended Qualifications
- Experience applying deep learning to satellite imagery or geospatial datasets
- Familiarity with the 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 LangGraph, paired with expertise in model fine-tuning, safety controls, and data-driven evaluation techniques to validate agent performance
The company is an equal opportunity employer (EOE), and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email us and let us know the nature of your request and your contact information.
