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    NLP Engineer - Bengaluru, India - FTPROTECH

    FTPROTECH
    FTPROTECH Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 4 days ago

    Default job background
    Technology / Internet
    Description

    About the role

    Position - Senior NLP Engineer

    Role - Full Time

    Location - In office @ Bangalore

    Eligibility Criteria

    ● 4-5 yrs in Machine Learning with NLP

    ● Preferred Educational Background - Masters in Computer Science

    What will you work on?

    ● The product consists of several types of NLP use cases, that range from well-defined

    and researched problems to more open-ended challenges.

    ● Complex NLP problems for an educational conversational AI engine.

    ● Use machine learning, data mining, and statistical techniques on unstructured textual

    data.

    ● Develop and maintain the entire machine learning pipeline - data collection/ cleaning,

    modeling, training, testing, monitoring, and deployment.

    ● Build, improve and extend NLP capabilities, research, and evaluate new/ different

    approaches to challenges

    What are we looking for?

    ● Deep understanding of probability, statistics, ML algorithm intuition, and computer

    science fundamentals.

    ● Expertise in Named Entity Recognition, Text classification, Information Extraction,

    Document Classification, Semantic Analysis, Sentiment analysis, Topic Modelling, and

    Natural Language Understanding (NLU).

    ● Strong understanding of text preprocessing and normalization techniques, word

    embedding, tokenization, POS tagging, and parsing.

    ● Expertise in RNN, LSTM, BERT, and other neural network architectures.

    ● Proficiency in any of the deep learning frameworks: Tensorflow, Pytorch, Keras

    ● High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data

    preparation, cleaning, and wrangling/munging.

    ● Experience with deploying ML models on cloud platforms like AWS/GCP

    Bonus points for

    ● Experience with conversational AI frameworks (e.g. RASA)

    ● Experience with ASR systems

    ● Has an active presence, contributing to the NLP communities

    ● Research publications in the ML domain

    Why choose us?

    ● Competitive remunerations

    ● Get opportunities to work on exciting NLP problems

    ● You will get independence in choosing your tools, methods, and ways to collaborate

    ● Being a small team, we value new ideas and encourage creative thinking

    ● You will be working closely with the founders and will have a high influence over the

    product design and direction

    ● And, of course, the thrill of being part of an early-stage startup, launching a product, and

    seeing it in the hands of users

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