• 3+ years of experience with Python with 2+ years in data science and deep learning
• Self-learner with coursework in and extensive knowledge of machine learning and deep learning
• Experience with Python machine learning and deep learning libraries such as Scikit-learn, Numpy, Pandas, PyTorch/Fast.ai, or TensorFlow/Keras
• Expertise in one or more of these 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.)
  • Traditional and deep learning-based natural language processing techniques (information extraction, summarization, etc.) and libraries such as transformers, spaCy, NLTK, Gensim, AllenNLP, TextBlob or ParlAI with the ability to develop natural language processing models that work with geospatial datasets and location information
  • 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models
• Basic understanding of machine learning as well as deep learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Random Forests, CNNs, RNNs, LSTMs, etc.
• 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
• Good understanding of inferential and descriptive statistics
• Bachelor’s, master’s, or Ph.D. in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges

• Experience applying deep learning to satellite or medical imagery or geospatial datasets
• Knowledge and experience with object tracking, processing videos, or optical character recognition
• Familiarity with ArcGIS suite of products and concepts of GIS
• Knowledge of deep learning for natural language processing, probabilistic programming, and reinforcement learning
• Experience with CUDA/GPU programming
• Experience in mobile deployment of deep learning models
• Knowledge of remote sensing concepts and experience in handling geospatial datasets including satellite imagery, 3D point clouds/meshes, LiDAR, and other geospatial datasets

Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Carefully managed growth and zero debt give Esri stability that is uncommon in today’s volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.

Visit Official website : Click Here

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