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Precily Private Limited Careers
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2016N/A

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6-50 employeesN/A

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Jobs at Precily Private Limited

Backend Developer - Node.js
Backend Developer - Node.js

Founded 2016
Products and services{{j_company_types[1 - 1]}}
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Location icon
NCR (Delhi | Gurgaon | Noida)
Experience icon
0 - 5 years
Experience icon
Best in industry4 - 8 lacs/annum

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Ashish Gupta (Precily) picture
Ashish Gupta (Precily)
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Ashish Gupta (Precily)
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NLP DEVELOPER
NLP DEVELOPER

Founded 2016
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Location icon
NCR (Delhi | Gurgaon | Noida)
Experience icon
2 - 7 years
Experience icon
Best in industry4 - 9 lacs/annum

Company Profile : Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions. Responsibilities & Skills Required : The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following : 1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. 2) Proven experience implementing and deploying advanced AI solutions using R/Python. 3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. 4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). 5) Hand on in handling large amounts of structured and unstructured data. 6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing. Skills Required : 1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks 2) Word Vectorizers 3) Word Embeddings ( word2vec & GloVe ) 4) RNN ( CNN vs RNN ) 5) LSTM & GRU ( LSTM vs GRU ) 6) Pretrained Embeddings ( Implementation in RNN ) 7) Unsupervised Learning 8) Supervised Learning 9) Deep Neural Networks 10) Framework: Keras/Tensor flow 11) Keras Embedding Layer output

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Ashish Gupta (Precily)
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Ashish Gupta (Precily)
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