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
- 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 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
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The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri 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 [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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Skills Required
- At least 1 year of experience using Python in data science, deep learning, and large language models
- Extensive knowledge of machine learning, deep learning, and large language models
- Expertise in computer vision, transformer models, AI assistants or agents, or multimodal foundation models
- Bachelor's degree in computer science, engineering, or a related discipline
- Degree from IITs or another top-tier engineering college
- Existing work authorization for the UAE
- Experience applying deep learning to satellite imagery or geospatial datasets
- Familiarity with ArcGIS products and GIS concepts
- At least one significant deep learning project through an internship, research, or personal portfolio
- Experience orchestrating multi-agent systems with tools such as LangGraph, including model fine-tuning, safety controls, and evaluation
Esri Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Esri and has not been reviewed or approved by Esri.
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Healthcare Strength — Feedback suggests health coverage is a standout, with full company-paid medical, dental, and vision premiums frequently cited as uncommon and valuable. Comprehensive options, including mental health support and FSAs, reinforce confidence in core healthcare benefits.
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Affordable Benefits — Feedback suggests employer-paid premiums lower out-of-pocket costs, which many view as a meaningful offset to lower cash pay in some roles. This affordability underpins satisfaction with total compensation even when salaries are seen as moderate relative to tech hubs.
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Retirement Support — Feedback suggests 401(k) matching and profit sharing are valued components that strengthen long-term financial security. These programs contribute to a perception of stability and a well-rounded total rewards package.
Esri Insights
What We Do
As a leading location intelligence platform provider (Forrester Wave 2020), Esri empowers leaders with innovative tools to help create sustainable prosperity. Esri's customers drive digital transformation by embracing the power of location. We pioneer problem solving with GIS to help you see what others can’t. We build ArcGIS, the world’s most powerful mapping & spatial analytics software. ArcGIS software and apps combine mapping and data analytics to deliver location intelligence and meet digital transformation needs for organizations of all sizes.
