Software Development Engineer II

Overview

Are you passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges? So are we! Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-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 in this role, you will develop foundation 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 developing AI applications, this is the place to be!

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 inpainting, 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 / 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 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.

#LI-PK1

#LI-Onsite