Geospatial Solutions Architect

2 weeks ago

Solapur, Maharashtra, India beBeeGeospatial Full time ₹ 18,00,000 - ₹ 21,00,000
Job Overview

This role requires a skilled professional to lead the development of cutting-edge geospatial solutions. As a Geospatial Data Science Engineer, you will work closely with customers to understand their needs and develop models for India-specific GeoAI use cases.

You will be responsible for conceptualizing and developing solutions using ESRI products. This involves representing the organization at conferences and forums, showcasing expertise and promoting ESRI solutions. Additionally, you will be expected to work independently, exhibit strong problem-solving skills, and effectively communicate complex geospatial concepts to diverse audiences.

Main Responsibilities
  1. Consult closely with customers to understand their needs and develop tailored solutions.
  2. Pitch data science solutions by mapping business problems to machine learning or advanced analytics approaches.
  3. Develop high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning.
  4. Write clean, collaborative, and version-controlled code to process big data and streaming data from various sources and types.
  5. 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.
  6. Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping.
  7. Integrate ArcGIS with popular deep learning libraries such as PyTorch.
  8. Keep up-to-date with the latest technology trends in machine and deep learning and incorporate them in project delivery.
Desired Skillset
  • 5+ 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.
  • 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 concepts.
  • 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.
  • 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).

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