• Computational Linguist

    Location IN-KA-Bangalore
    Posted Date 3 months ago(16-08-2018 14:44)
    Job ID
    702965
    Company
    ADCI - Karnataka
    Company/Location (search) : Country (Full Name)
    India
  • Job Description

    Amazon is looking for a Language Engineer to join our Natural Language Processing (NLP) team. We are seeking a candidate with strong analytical skills and language technology experience to help us develop language components for a variety of Kindle products.

    As a Language Engineer at Amazon, you will:
    - Create sample language data for the target language
    - Develop NLP components: write rules, build grammars/FSTs, create annotation systems or mappings for the target language
    - Contribute to the design of new features by extending existing annotation schemas to cover new areas in the target language
    - Use modeling tools to bootstrap and test new functionalities
    - Analyze system performance and identify areas for improvement
    - Collaborate with other Language Engineers and Data Associate teams in data collection and development efforts

    Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation

    Basic Qualifications

    - Bachelor’s or higher degree in a relevant field (linguistics or language)
    - 2+ years experience in computational linguistics, language data processing, semantics, or syntax
    - Experience with language annotation and other forms of data markup
    - Experience working with speech and text language data in multiple languages
    - Native or near-native fluency in Hindi and English dialects spoken in India

    Preferred Qualifications

    - Experience with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix
    - Experience programming in Perl, Python, or another scripting language
    - Expertise in building ontologies, taxonomies, and semantic relation frameworks
    - Experience in writing grammars and building FSTs
    - Experience with statistical language modeling
    - Practical knowledge of version control and agile development
    - Excellent communication, strong organizational skills and very detailed oriented
    - Comfortable working in a fast paced, highly collaborative, dynamic work environment
    - Willingness to support several projects at one time, and to accept reprioritization as necessary
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