Job Application-Data Scientist - Gurugram, India - EXL

    EXL
    EXL Gurugram, India

    2 weeks ago

    EXL background
    Description
    Job description (NLP Engineer)

    Job Location:
    Gurgaon/BangaloreExperience: 5+ years

    Notice Period:
    Immediate Joiner to 30 days

    Job Description:
    We are seeking a talented and experienced Natural Language Processing (NLP) Engineer to join our innovative team.

    As an NLP Engineer, you will be responsible for developing and implementing cutting-edge algorithms and models to analyze and extract insights from unstructured text data.

    The ideal candidate will have a strong background in machine learning, natural language processing, and software engineering, with a passion for solving complex linguistic challenges.


    Responsibilities:


    Develop and deploy state-of-the-art NLP models and algorithms to solve business problems related to text analysis, sentiment analysis, entity recognition, topic modeling, and more.

    Design and implement scalable and efficient NLP pipelines for processing large volumes of unstructured text data.
    Conduct research to explore new NLP techniques and methodologies, staying abreast of the latest advancements in the field.
    Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
    Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation.
    Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.


    Qualifications:5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics.3+ Years Experience in NLP, Deep Learning frameworks, LSTM, Transformers, Neural network.

    Proficiency in programming languages such as Python, with experience in relevant libraries and frameworks (e.g., NLTK, spaCy, TensorFlow, PyTorch).Solid understanding of linguistics and text processing techniques, including tokenization, lemmatization, part-of-speech tagging, and named entity recognition.

    Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.
    Excellent problem-solving skills and attention to detail.
    Ability to communicate effectively with diverse clients/stakeholders.

    Education Background:
    Bachelor's in Computer Science, Engineering, Computational Linguistics or related field.
    Tier I/II candidates preferred.
    Folks with shorter notice period to be preferred.

    If you interested in this role, then please share your following details along with the updated CV:

    Total Experience-Current CTC Fixed-Expected CTC Fixed-Notice Period-Any other offer In hand-Reason for change-Skills-Regards,Nandini Sharma