Overview

Data Scientist Job at Esri in New Delhi, Delhi

Job Description

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 deep learning and solve challenging problems.

As a data scientist, you will develop deep learning models using libraries such as PyTorch or Tensorflow and create APIs and tools for training and deploying them on satellite imagery. 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

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Integrate ArcGIS with popular machine learning and deep learning libraries such as scikit-learn and PyTorch/Fast.ai or TensorFlow/Keras

Develop APIs and model architectures for computer vision/natural language processing or 3D deep learning applied to geospatial datasets

Design, test, release, and support AI capabilities in the ArcGIS platform to enhance overall product quality and applicability for supporting data science and deep learning workflows with imagery

Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries

Curate and pre- and post-process data for deep learning models and transform it into geospatial information

Perform comparative studies of various deep learning model architectures

REQUIREMENTS

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:
Knowledge of traditional and deep learning-based computer vision techniques and libraries such as OpenCV, 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.)

Knowledge of traditional and deep learning-based natural language processing techniques (information extraction, summarization, etc.) and libraries such as spaCy, NLTK, Gensim, AllenNLP, TextBlob or ParlAI with the ability to develop natural language processing models that work with geospatial datasets and location information

Knowledge of 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models

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

RECOMMENDED QUALIFICATIONS

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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

About Company

Company: Esri

Company Location:  New Delhi, Delhi

Job Category: Engineering Jobs, Mechnical Jobs, Electrical Jobs

About Esri