• Sr. NLP Data scientist -IOT Bot, machine learning, DNN, CNN, LSTM-RNN, signal processing NLP, NLU, AWS, Azure, GCP, Kubernetes, Azure ML, AWS ML, TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2
  • Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
  • Depends on Experience

Job Description

  • Hand on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
  • Hand on experience with machine learning techniques such as signal processing NLP , NLU or machine learning related to voice technology or messagin
  • Experience working in a cloud environment (AWS, Azure, Google Cloud Platform) or a containerized environment (Mesos, Kubernetes)
  • Good understanding of the complexity of developing and productizing real-world AI/ML applications such as prediction, recommendation, computer vision, bots, NLP, sentiment, knowledge and content intelligence, etc.
  • Knowledge of Text Analytics with a strong understanding of Client & NLP algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics
  • Deep knowledge of some of the popular ML frameworks such as Azure ML, AWS ML, TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O etc
  • Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
  • Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects
  • Ability to translate business requirements into conceptual and detailed system architecture and technology solutions
  •  Ability to develop and lead proof-of-concepts, deliver practical, working solutions
  • Experience in building modern Machine Learning platforms a big plus
  • Being a committer or a contributor to an open source project is a plus
  • Design, implement and deploy scalable, distributed solutions to support real-time NLP data analytic platform using modern engineering principles and techniques
  • At least 4 years’ experience building Machine Learning & NLP solutions over open source platforms such as SciKit-Learn,Tensorflow, SparkML, Torch, Caffe, H2O
  • Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP.
  • At least 2 years’ experience in designing and developing enterprise-scale NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing.

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