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Senior Software Engineer

3.00 to 6.00 Years   Noida   08 Jul, 2019
Cyient Limited
Job LocationNoida
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Integrate QGIS with popular machine learning and deep learning libraries such as Scikit-learn, Tensorflow/Keras, and PyTorch/FastAI. Languages like Python & PostgreSQLJOB DESCRIPTION

  • 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 QGIS 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 QGIS platform to enhance overall product quality and applicability for supporting data science and deep learning workflows.Author and maintain geospatial data science samples using QGIS 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.Good to have:Experience applying deep learning to satellite or medical imagery.Familiarity with QGIS 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: PostGreSQL, Hadoop HDFS, Spark, Accumulo, Presto, MongoDB, Elastic Search, Cassandra, HBase, R, Mahout, Pig, Hive, DC/OS, Kubernetes.
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