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    Job · 20730103

    HYDERABAD · FULLTIME

    Here is an Exciting Opportunity - Data Scientist - Gen AI

    Capgemini

    Capgemini

    Hyderabad · onsite · Posted 11d ago

    Sourced fromNaukri
    Undisclosed6–9 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Position Summary:

    The Data Scientist Generative AI & NLP Specialist will be responsible for designing, developing, and deploying AI models and solutions that meet our business needs. With 4+ years of hands-on Data Science experience and at least 2+ years working in Generative AI, you will bring specialized expertise in LLMs and NLP. Project experience in NLP is a must, and experience in developing AI Agents will be considered a strong plus. This role suits a creative, analytical, and proactive individual focused on pushing the capabilities of AI within our projects.

    Key Responsibilities:
    • Develop and implement AI models focused on NLP tasks—such as text classification, entity recognition, sentiment analysis, and language generation.
    • Leverage deep knowledge of Large Language Models (LLMs) to design, fine-tune, and deploy high-impact solutions across various business domains.
    • Collaborate with cross-functional teams (data engineers, product managers, and domain experts) to define problem statements, build robust data pipelines, and integrate models into production systems.
    • Stay current with advancements in Generative AI and NLP; research and evaluate new methodologies to drive innovation and maintain a competitive edge.
    • Build, test, and optimize AI agents for automated tasks and enhanced user experiences where applicable.
    • Ensure the integrity and quality of data throughout the model development lifecycle, including data preprocessing, feature engineering, and model validation.
    • Communicate complex technical findings effectively to stakeholders through presentations, reports, and visualizations.
    • Maintain documentation for all models, processes, and experiments, following best practices in version control and reproducibility.

    Required Qualifications:
    • B.S./M.S. or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
    • Minimum of 4 years of professional experience in Data Science, with a proven track record of applying machine learning or AI techniques to real-world problems.
    • At least 2 years of specialized experience in Generative AI, with demonstrable hands-on experience working with LLM architectures (e.g., GPT, BERT, etc.).
    • Strong project experience in Natural Language Processing (NLP), including building and deploying NLP models in production environments.
    • Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn, etc.).
    • Experience with data management, model versioning, and workflow orchestration tools.
    • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.

    Preferred Qualifications:
    • Hands-on experience developing AI Agents or autonomous systems.
    • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for scalable model deployment.
    • Exposure to reinforcement learning frameworks and techniques.
    • Experience with DevOps/MLOps practices for robust model deployment and monitoring.



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    Section · 02

    Skills

    Applied ScientistResearch Scientist AIai engineerdata scientistAI/ML Engineermachine learning engineerGenerative AI EngineerSenior Data ScientistLLM EngineerNLP Engineer

    Section · Company

    About Capgemini

    Capgemini

    Capgemini

    IT Services & Consulting

    235k+

    employees

    1967

    59 years old

    Mumbai, Maharashtra

    India

    About

    Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.

    Industries

    IT Services & ConsultingAnalytics & KPOBankingSoftware Product

    Employee ratings

    53,345 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    2.8

    Work-life

    3.8

    Employees rate it well for

    Work Life Balance7494Salary7201Work Culture5032Appraisal4419Senior Management3872

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