Job Location: Gurgaon/Gurugram
– Experience range 6-10 years with at least 3-year deep and hands-on experience in data science ecosystem (e.g. Python, Spark, Neural NetworksDeep Learning, NLP models, etc.)
– Hands-on experience and proven success in building Deep Learning-based solutions (Dense & Convolutional NNs, RNNsLSTMs, Transformer-based models, etc.) and solid Python coding experience in the context of Machine Learning (primarily Python >3.6, familiarity with popular MLData Science libraries, e.g. NumPy, Pandas, scikit-learn)
– Proficiency in training large scale models in, at least, one of the following frameworks: TensorFlow, Keras, PyTorch
– Excellent knowledge of natural language processing (NLP) techniques in atleast one of the the following areas: Machine Translation, Question Answering, InformationRelation Extraction, NER, Sentiment Analysis, Feature modelling, etc.
– Knowledge of the latest SOTA research papers (NLP domain covering the following is a plus: Transformer, BERT, Google Reformer, etc.) with good understanding of algorithms and complexities that could translate into an efficient code
– Demonstrated ability to execute across the entire data pipeline
– Excellent knowledge of professional software engineering practices and best practices for the full software development life cycle
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