Job Description

Machine learning and AI Engineer Company Profile Megdap is a leader in langauge technology. Having started its operations in 2016, Megdap offers a could based AI platform for language Translation, Digitization and Analysis called TexLang. We are currently looking to hire candidates who would be able to research on Asian, South Asian and European markets and also help the company to establish its foot hold in these regions Megdap is seeking an experienced. Handwritten Recognition Position: 1 expertise in AI, Deep Learning, machine learning and computer vision techniques. Experience with OpenCV, Python/Matlab image processing packages Experience with projects of visual object detection/object recognition, image segmentation, image classification, visual search, 3D vision/AR. Experience with Neural Network families, such as CNN, RNN/LSTM, GAN. Experience with one or more of the following frameworks: Caffe, TensorFlow, MXNet, Torch, Theano, and Caffe2 is a plus. Experience with development customized Deep Learning inference framework is big plus. programming experience in C/C++, Python, and MATLAB Experience with software engineering tools and linux environment (e.g., Git, CMake, CI, gdb, etc) Knowledge of parallel computing, CUDA, OpenCL is a plus Experience with mobile application development is a plus Publications on top - tier conference, such as CVPR/ICCV/ECCV/NIPS, are big plus. Natural Language Processing (NLP) Position: 1 Exposure to at least one of Natural Language Processing tools such as a: Microsoft Azure ML/ Microsoft Chat Bot Framework/ LUIS/ IBM Watson / Conversation Service Experience with Open source NLP Libraries Experience with one or more of the following frameworks: Caffe, TensorFlow, MXNet, Torch, Theano, and Caffe2 is a plus. Experience with development customized Deep Learning inference framework is big plus Programming experience in C/C++, Python, and MATLAB Experience with software engineering tools and linux environment (e.g., Git, CMake, CI, gdb, etc) Knowledge of parallel computing, CUDA, OpenCL is a plus Experience with mobile application development is a plus Publications on top - tier conference, such as CVPR/ICCV/ECCV/NIPS, are big plus. Speech Recognition Position: 1 Solid experience building ASR systems (Indic) and/or a publication record in the area. Experience with Wavenet or deep Speech libraries Strong machine learning background and familiar with standard statistical modeling techniques applied to speech Familiarity with linguistic phonetics Proficiency in programming languages such as C/C++, Python, Java or Perl Knowledge of basic digital signal processing techniques for audio Work Experience 2 - 5 years work experience and minimum of 1 year experience in Machine learning and AI Qualification Criteria BE in Computer Science / Electronics or equivalent/MCA or Msc Mathematics or equivalent Skills Must Have Skills Must Have Skills Deep understanding of the fundamentals of Machine learning, AI and data science

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