ESRI
ESRI
Delhi
0 Followers
Jobs / Data Scientist

Data Scientist
Posted on: 11th February, 2019 | Closed

Skills Java, Python
Experience 0-10 years exp
Cost to Company Best In Industry
Job Location Esri R&D Center - New Delhi
How to apply Take a 9 days 6 hrs 55 mins screening test organized by ESRI.
  • Opening time: Mar 01, 2019 06:30 AM UTC
  • Closing time: Mar 10, 2019 01:25 PM UTC
Note: You can take the test anytime between the given duration

Responsibilities:

  • Develop and train deep learning models for computer vision problems such as object detection, image classification, road detection, building footprint segmentation, and 3D point cloud segmentation.
  • Develop processes and tools to monitor model performance and accuracy.
  • Integrate ArcGIS with popular machine learning and deep learning libraries such as Scikit-learn, Tensorflow/Keras, and PyTorch/FastAI.
  • 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.
  • Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries like Tensorflow and PyTorch.

Requirements:

  • Knowledge of Python.
  • Knowledge of practical machine learning experience, some of which is within established technical organizations.
  • 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, Pandas, PyTorch/FastAI, or TensorFlow/Keras.
  • Understanding of machine learning as well as deep learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Random Forests, CNNs, RNNs, LSTMs.
  • Ability to design and implement deep learning models for object detection, semantic and instance segmentation, GANs.
  • 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.
  • Ability to perform data extraction, transformation, loading from multiple data sources and sinks.

Recommended qualification:

  • Experience applying deep learning to satellite or medical imagery.
  • Familiarity with ArcGIS suite of products and concepts of GIS, including working with ArcGIS API for Python.
  • Knowledge of deep learning for natural language processing, probabilistic programming, and reinforcement learning.
  • Experience with CUDA/GPU programming.
  • Experience with distributed training of deep learning models and big data machine learning using Spark ML.
  • Familiarity with one or more of the following: Hadoop HDFS, Spark, Accumulo, Presto, MongoDB, Elastic Search, Cassandra, HBase, R, Mahout, Pig, Hive, DC/OS, Kubernetes.
About ESRI

Esri is the global market leader in GIS, helping customers get results since 1969. Esri was founded to help solve some of the world’s most difficult problems. We do so by supporting our users’ important work with a commitment to science, sustainability, community, education, research, and a positive change. Today, Esri software is deployed in more than 350,000 organizations, including the wrold’s largest cities and most national governments. We’re committed to serving our users and customers. We seek a deep understanding of their challenges and opportunities, and work together towards viable solutions. We spend more than 30% of our annual revenue on R&D. That’s how much we believe in advancing and shaping the future of geographic information systems (GIS).

Esri R&D Center, New Delhi, is focused on advancing enterprise GIS and infusing it with AI. The AI and Data Science team is applying AI and deep learning to revolutionize geospatial analysis and solve some of the world’s biggest challenges. The Enterprise team works on distributed computing problems, designing microservices and containers, building automated systems, to deliver geospatial infrastructure that help organizations make business and mission critical decisions.

Linked In: https://www.linkedin.com/company/esri/

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