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Data Scientist Voice & NLP | NOIDA

4.00 to 7.00 Years   Noida   31 Mar, 2021
CRMNEXT
Job LocationNoida
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Roles and ResponsibilitiesWe are currently looking for a passionate, innovative and dynamic Rockstar s to join a high impact AI team aiming for the moon. We are on a mission to disrupt the CRM space through Digital transformation. The role will involve designing components & building ML pipelines from scratch, architecting low latency systems at scale. If you are excited about, owning & building a next generation Conversational AI platform and working on core algorithms, right from training to production, you ll love the job. What You Will Do

  • Architect and build CRMNext s Voice & NLP platform
  • Work with large data-sets and train ML or Deep learning models
  • Prototype and experiment with various ML and Deep learning techniques for performance and scalability
  • Up-to-date with Deep learning literature and research publications in order to evaluate and implement latest techniques into our platform
  • Propose new ML or Deep learning methods for some of the NLP/speech problems and we would love to submit research publications to the leading conferences
What We Are Looking For
  • Strong fundamentals in Statistics, Machine learning, Natural language processing, Speech processing
  • Proficient in Deep learning theories such as CNNs, RNNs (LSTM), Attention models, Transformers
  • 5+ years of research and hands-on experiences in Natural language processing or Nature language understanding (e.g. Text classification, Sentiment analysis, Entity recognizer, Dialog systems) or Speech processing (e.g. Speech recognition, Speaker recognition, Speaker diarization & verification, Speech Segmentation, Speech Summarization, Emotion detection, Text-to-speech)
  • 3+ years of experience in applying Deep Learning algorithms in solving AI problems
  • Though not mandatory but Research publications in NLP or Speech technology conferences will be a plus (ICASSP, InterSpeech, EMNLP, ACL)
  • Hands on experience with natural language and speech processing tools such as: NLTK, CoreNLP, ESPNet, and Kaldi
  • Experience with ML and deep learning libraries such as: Scikit Learn, TensorFlow, PyTorch
  • Demonstrable proficiency in Python, Shell scripting and C/Java
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Keyskills :
shell scriptingnatural language processingposition managementnatural languagenlpspeech recognitiondata analysismachine learningsqlsentiment analysistext classificationnltkpythonanalyticslow latencylanguage processingspeech technology

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