Data Scientist - Gurgaon/Gurugram/Noida, India - hubwork

    hubwork
    hubwork Gurgaon/Gurugram/Noida, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description

    Salary :

    LPA

    Required skills :

    • 4 Plus years of working experience in Enriching Data, data mining, developing models and Statistical Analysis.
    • Experience in prompt engineering.
    • Should have built expertise in either vision of natural language processing areas.
    • Good experience with Convolution Neural Networks.
    • Must have an in depth understanding of CNN components such as Convolution, Pooling etc. OR Must be Familiar with NLP featurization techniques such as TF-IDF, W2Vec, Tokenization etc.
    • Must have experience with Vision models such as VGG, ResNet, AlexNet etc.
    • Experience with NLP libraries such as NLTK, Gensim, or Spacy etc.
    • Experience in data mining, machine learning and artificial intelligence areas.
    • Experience with deep learning frameworks such as Tensorflow, PyTorch etc.
    • Expertise is understanding the underlying mathematics of ML models.
    • Experience in generative AI including LLMOps, prompt engineering, performance optimization.
    • Knowledge of finetuning LLMs for a given domain.
    • Experience in state of the art vision transformers and diffusion probabilistic models.
    • Experience in evaluating and reasoning model predictions in terms of accuracy.
    • Experience in monitoring models in production, identifying drift and enabling continuous learning of models.
    • Excellent Problemsolving skills with can do attitude.
    • Should have experience with endtoend ML model development cycle from data collection to deployment.
    • Should be skilled in creating scalable deployment frameworks for Trained ML models.
    • High Impact communication and presentation skills.
    • Excellent mathematical and statistical knowledge.
    • Familiarity with Docker and Kubernetes

    Role :
    Data Scientist


    Industry Type :
    Banking


    Department :
    Data Science & Analytics

    Employment Type :
    Full Time, Permanent

    Role Category :
    Data Science & Machine Learning
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