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 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
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.