Geoprocessing Software Developer

Key Skills

.NET, API, ArcGIS, C++, Fast.ai, GIS, Keras software library, NumPy, Pandas, Python Programming, PyTorch, Scikit-learn, Scrum Agile Methodology, SQL Server, TensorFlow

Job Description

Geoprocessing Software Developer

Location: New Delhi, DL

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-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data.

Our team develops tools, APIs, and AI 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 geoprocessing software developer, you will develop geoprocessing tools, solutions and APIs that integrate AI capabilities in ArcGIS software. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be!

Responsibilities

• Develop software that extends the AI capabilities of the ArcGIS platform
• Build software components using a variety of programming languages (Python, .NET, C++ etc.) that follow industry-standard design patterns, development methodologies, and deployment models
• Solve and articulate complex problems with application design, development, and user experiences
• Work closely with other developers to design and develop quality tools and APIs that scale to millions of users
• Write comprehensive technical design specifications and support documentation

Requirements

• 3+ years of industry experience with programming languages such as Python, C# and C++
• Experience with Python machine learning and deep learning libraries such as Scikit-learn, Numpy, Pandas, PyTorch/Fast.ai, or TensorFlow/Keras
• A strong drive and interest to learn new technologies quickly and work in a fast paced software development environment
• Knowledge of Agile software development methodologies (Scrum)
• All the other important things that will help you be successful at Esri--good communication skills and the ability to thrive in an environment that encourages innovation
• Bachelor’s or master’s in computer science, engineering, mathematics, or related field, depending on position level

Recommended Qualifications

• Familiarity with ArcGIS suite of products and concepts of GIS
• Knowledge of deep learning for natural language processing, probabilistic programming, and reinforcement learning
• Knowledge and experience with object tracking, processing videos, or optical character recognition
• Experience with GIS and web services
• Expertise with Microsoft technology (Visual Studio, SQL Server)
• Familiarity with API development, performance tuning, system scalability