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Data Scientist NLP

In Texas /

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Data Scientist NLP   

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JOB TITLE:

Data Scientist NLP

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Dallas Texas /

JOB DESCRIPTION:

Data Scientist NLP

  • Extensive Hands-on Expertise in building end-to-NLP pipelines
  • Ability to Handle Large text Corpus / multiple documents
  • Key skills: Unsupervised Text Segmentation (Topic Extraction & identification), Classification, Semantic Relationship, NER, Summarization / Question Answering / Information Extraction)
  • Technologies / Frameworks: Wordvectorization, LDA,LSA, Bi-LSTM , recurrent neural networks, convolutional neural networks, and attention mechanisms[Transformers (BERT, T5, GPT)]
  • Fine-tuning Transformer/Language Models (like BERT) for various Downstream tasks (Classification, Tagging, Summarization, Entity-Relationship linkage,etc.
    )
  • Must haves :

  • Excellent communication skills
  • Programming Skills: Strong fundamentals in Python programming
    • Ability to advocate ML/AI capabilities across different business units within the organization.
    • Machine learning skills: Should be familiar with machine learning algorithms(regression, classification, and clustering algorithms), timeseries forecasting, anomaly detection
    • Experience in setting up end-to-end pipelines for model building

    Position Details

    POSTED:

    May 02, 2023

    EMPLOYMENT:

    INDUSTRY:

    Others

    SNAPRECRUIT ID:

    S362-22168-03282023-363918

    LOCATION:

    Texas /

    CITY:

    Dallas

    Job Origin:

    CEIPAL_ORGANIC_FEED

    A job sourcing event
    In Dallas Fort Worth
    Aug 19, 2017 9am-6pm
    All job seekers welcome!

    Data Scientist NLP    Apply

    Click on the below icons to share this job to Linkedin, Twitter!

    Data Scientist NLP

  • Extensive Hands-on Expertise in building end-to-NLP pipelines
  • Ability to Handle Large text Corpus / multiple documents
  • Key skills: Unsupervised Text Segmentation (Topic Extraction & identification), Classification, Semantic Relationship, NER, Summarization / Question Answering / Information Extraction)
  • Technologies / Frameworks: Wordvectorization, LDA,LSA, Bi-LSTM , recurrent neural networks, convolutional neural networks, and attention mechanisms[Transformers (BERT, T5, GPT)]
  • Fine-tuning Transformer/Language Models (like BERT) for various Downstream tasks (Classification, Tagging, Summarization, Entity-Relationship linkage,etc.)
  • Must haves :

  • Excellent communication skills
  • Programming Skills: Strong fundamentals in Python programming
    • Ability to advocate ML/AI capabilities across different business units within the organization.
    • Machine learning skills: Should be familiar with machine learning algorithms(regression, classification, and clustering algorithms), timeseries forecasting, anomaly detection
    • Experience in setting up end-to-end pipelines for model building


    Please wait..!!