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    Lead Data Scientist - Hyderabad, India - Resourcetree

    Resourcetree
    Resourcetree Hyderabad, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description :

    Key Responsibilities for Lead Data Scientist (GenAI&NLP) :

    • Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.
    • 610 years of experience using analytical tools/languages like Python on largescale data
    • Must have Semantic modeling & NER experience
    • Experience working with pretrained models, awareness of stateofart in embeddings and applicability for use cases
    • Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like PyTorch, Tensor Flow, BERT, Langchain and GPT (or similar models) Open CV.
    • Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT 3.5 & 4, Prompt Engineering
    • Must have worked using Azure services for ML & GenAI projects.
    • Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains
    • Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic
    Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc.

    • Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.
    • Experience in productionizing & retraining models
    • Total work experience of 7+ years, 4+ years in Advanced NLP, 1 year experience in GenAI
    • Ability to guide and mentor teams of associates on solution development and approaches
    • Broad knowledge of fundamentals and stateoftheart in NLP and machine learning
    • Coding skills in one or more programming languages such as Python, SQL
    • Expert / high level of understanding on language semantic concepts & data standardization
    • Proven track record of successful models and practical implementation
    • Handson experience with popular ML frameworks such as TensorFlow
    • Experience with application development practices at scale, from problem definition to deployment.
    • Familiarity with any Cloud services such as AWS, Sage Maker etc. is considered a plus
    • Develop and apply Statistical Modelling techniques (e.g Bayesian models and deep neural
    networks), optimization methods, and other ML techniques to different applications

    • Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain

    We offer you :

    • Opportunity to work on cuttingedge AI projects
    • A chance to try things, take risks.
    • Meaningful problems you'll be proud of solving, which directly adds to your career growth & skill development
    • People you will be comfortable working with
    )
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