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Data Science and AI Professional

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Tiruchi, Tamil Nadu, India beBeeGeospatial Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Geospatial Data Scientist Role

Job Overview:

We are seeking a skilled Geospatial Data Scientist to join our team. As a key member, you will collaborate with customers to develop and deliver models for India-specific GeoAI use cases.

You will be responsible for conceptualizing and implementing solutions using ESRI products, representing the organization at conferences and forums, and showcasing expertise to promote ESRI solutions.

Key Responsibilities:

  • Collaborate 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 various 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

Requirements:

  • 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
  • Experience in LLMs is preferred.
  • Self-motivated, life-long learner

Essential 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)