Geospatial Data Science Manager

Organization and Background

Established in 1996, Esri India Technologies Pvt. Ltd. (Esri India), the market leader in geographic information system (GIS) software, location intelligence, and mapping solutions in India, helps customers unlock the maximum potential of their data to improve operational and business decisions. It has delivered pioneering enterprise GIS technology, powered by ArcGIS, to more than 6,500 organizations in government, private sector, academia, and non-profit sectors. The company has also introduced ‘Indo ArcGIS’, a unique GIS solution & data offering suited for government organizations. Esri India collaborates with a rich ecosystem of partner organizations to deliver GIS and location intelligence-based solutions. Headquartered in Noida (Delhi NCR), the company has 1 million users in the country and has got Great Place to Work Certified® in 2021, 2022, and 2023.

• Website:www.esri.in

Role overview

This position will work closely with customer to understand their needs to develop and deliver models for India specific GeoAI use cases. He/she will be responsible for conceptualizing and developing solutions using ESRI products. Additionally, the role demands representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. Should be capable of working independently, exhibiting strong problem-solving skills, and effectively communicating complex geospatial concepts to diverse audiences.

Roles & Responsibilities

• Consult closely with customers to understand their needs.
• Develop and pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches.
• Build high-quality analytics systems that solve our customers’ business problems using techniques from data mining, statistics and machine learning.
• Write clean, collaborative and version-controlled code to process big data and streaming data from a variety of sources and types.
• Perform feature engineering, model selection and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises or hybrid environment.
• Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping.
• Integrate ArcGIS with popular deep learning libraries such as PyTorch.
• Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery.
• Support in estimation and feasibility for various RFPs.

Desired skillset

• 2+ years of practical machine learning experience or applicable academic/lab work
• Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks
• Experience in building and optimizing supervised and unsupervised machine learning models including deep learning and various other modern data science techniques
• 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)
• Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others
• Transformer models applied to computer vision o Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more
• A fundamental understanding of mathematical and machine learning concepts such as calculus, back propagation, ReLU, Bayes’ theorem, Random Forests, time series analysis, etc
• Experience with applied statistics concept.
• Ability to perform data extraction, transformation, loading from multiple sources and sinks
• Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries
• Experience with hyperparameter-tuning and training models to a high level of accuracy
• Experience in LLMs is preferred.
• Self-motivated, life-long learner.

Non-negotiable skills

• Master's degree in RS, GIS, Geoinformatics, or a related field with knowledge of RS & GIS
• Knowledge and experience of ESRI products like ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, etc
• Experience with Image analysis and Image processing techniques in SAR, Multispectral and Hyperspectral imagery.
• Strong communication skills, including to non-technical audiences
• Should have strong Python coding skills.
• Should be open to travel and ready to work at client side (India).