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Bengaluru

    Research Scientist - bangalore, India - Career Makers

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    permanent Technology / Internet
    Description

    Job Functions:

    • Develop rich models for specific tasks of NLP by collecting, curating, coordinating annotations of NL texts, training and adapting machine learning models
    • Tune models through feature engineering to optimize model performance by combining rules and machine learning techniques
    • Experience with application of ML tools for NL problems
    • Integrate the developed models into Curo or other Interactions Platforms.
    • Documenting the work either in form of Lab notebooks/research papers
    • Mentoring junior associates as required.

    Experience and Skills required:

    • Masters (With 5 years of experience) or PhD degree (Fresher of With 1 years of experience) in computer science, engineering, linguistics, or a related field.
    • Experience in natural language processing technologies and services with emphasis in one or more of the following:
    • Data acquisition and NL modeling: harvesting NL resources from the Web, rapid bootstrapping of domainspecific and multilingual NL models for namedentity, syntactic parsing and text classification
    • NL systems: largescale development and deployment, performance monitoring, tuning and optimization of NL models
    • NL methodology: grammarbased, datadriven and machine learningbased, hybrid approaches
    • NL technologies: spoken language understanding, language translation, natural language search, syntaxsemantics.
    • Interfaces using ontologies, discourse processing, language generation and summarization, interactive NL systems
    • In depth understanding of language processing technology, a strong software background and experience with processing large scale multilingual texts through effective use of computing resources.
    • Ability to demonstrate Interactions Values of:
    • Being passionate about customer service
    • Obsessing with our customer's success
    • Respecting each other
    • Creating opportunity
    • Embracing disruption
    • Doing what we say we will do

    Pluses:

    • Experience working with machine learning tools, speech recognition tools, web crawlers, finite state machines, and open source natural language toolkits are a plus.
    )

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