MERGEN CORPORATES PRIVATE LIMITED | Jobs | Senior NLP/ ML Developer | BigDataKB.com | 12-02-22

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    Job Location: Hyderabad/Secunderabad

    Roles and Responsibilities

    RE: Openings with Windstream (Permanent Position)_ Senior NLP/ ML Developer _5+Yrs _ Hyderabad.

    Role : Wysdom Developer

    Title : Senior NLP/ ML Developer

    Experience : 5+ Years

    Client : Windstream

    Location : Hyderabad

    Notice Period : 30 Days

    Please find below JD for Senior NLP, ML Developer:

    Provide statistical analysis of conversation data

    • Transform and integrate conversation data into our Data and ETL pipeline
    • Enhance our ML models
    • Keep abreast of state-of-the-art technology in the NLP/ML space, perform proof of concepts, and plan to incorporate these into our NLP/ML pipeline
    • Work closely with product managers, business stakeholders and developers to design and deliver high quality, scalable NLP/ML solutions

    Mandatory Skills : Python, Flask(Django), Numpy , Pandas, in NLP tasks ( Text classification,NER, Clustering, Topic-modeling) TextCNN, LSTM, seq2seq, BERT models, transformers, TensorFlow, Keras, PyTorch,NLTK, spaCy,

    About You

    • Bachelor’s Degree (MSc+ is preferred) in Computer Science/Engineering or related field required
    • Strong experience working with Python, Flask(Django), Numpy and Pandas
    • An expert in NLP tasks such as Text classification,NER, Clustering, and Topic-modeling
    • A good understanding of Machine Learning fundamentals
    • Experience with TextCNN, LSTM, seq2seq, and BERT models
    • A good understanding of transformers (tokenizers, pre-trained models, fine-tuning)
    • Experience with TensorFlow, Keras, PyTorch,Scikit-learn
    • Experience with NLP libraries like NLTK, spaCy, etc.
    • Familiar with Linux systems

    Nice to have

    • Experience with Azure, GCP, or AWS
    • Experience with Docker and Kubernetes
    • Experience with ETL and Data Engineering projects
    • Experience with PySpark and MapReduce
    • Experience with DataBricks, Snowflake, or Azure Data Factory
    • Experience with Kubeflow, or Airflow

    1.Full Name :-

    2.Email Id:-

    3.Contact Number :-

    4.Total years of exp & relevant exp:-

    5.Current CTC:-

    6.Expected CTC:-

    7.Notice Period:-

    8.Current Location:-

    9.Relocation Yes/No:-

    Kindly send you updated CV along with the Above mentioned details.

    M: +91 7842100374

    E: laya@mergenit.com

    E : srikanth.e@mergenit.com

    Apply Here

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