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  • Gen ai engineer - Chennai - Tata Consultancy Servicess

    Tata Consultancy Servicess
    Tata Consultancy Servicess Chennai

    1 week ago

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    Description

    Job Description Required Information Details 1 Role - Gen AI Engineer 2 Desired Experience Range Desired Designation - AST 4 Location of Requirement - TCS - Chennai Desired Skills -Technical/Behavioral Must-Have Strong understanding of machine learning techniques, including deep learning, reinforcement learning, and predictive modeling.


    • Demonstrable experience in AI, ML, NLP, or related fields, with a robust portfolio showcasing practical application of these technologies.
    • Proficient in Python and familiar with frameworks for AI development, such as Tensor Flow, Py Torch, Keras, scikit-learn, NLTK, Langchain.
    • Experience in utilizing Python libraries such as Num Py, Pandas, Matplotlib, Plotly.
    • Experience working with Large Language Models (LLM) like GPT-3,3.5,4, BERT, Claude, Gemini, Mistral etc., and their applications.
    • Demonstrable experience with data preprocessing, data exploration, and visualization tools.
    • Hands on Experience in implementing Data Analysis, Forecasting using algorithms like Linear, Logistic Regression, GBM, Decision Trees,
    • Random Forest and Neural Networks.
    • Proficient in programming languages such as Python, Java, Java Script (Preferably Python, Java).
    • Solid understanding of software engineering principles, including version control, testing, and deployment best practices.
    • Familiarity with modern data platforms and cloud services like AWS, Azure for deploying scalable AI solutions.
    • Develop rigorous testing methodologies and validation procedures to ensure the accuracy, reliability, and robustness of AI models and tools
    • Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
    • Excellent problem-solving skills with the ability to perform in a fast-paced, dynamic environment. Good-to-Have Responsibility of / Expectations from the Role Implementation of Gen Ai in Testing ecosystem

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