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    Job · 22004563

    Quess IT Staffing Solutions logo

    Senior GEN AI Engineer

    Quess IT Staffing Solutions · Pune · onsite · Posted today

    Up to ₹30.0L PA7–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Roles and Responsibilities :

    • Design, develop, test, and deploy large language models using machine learning algorithms and Python.
    • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
    • Develop APIs for data retrieval and augmentation using various tools such as API design and development frameworks.
    • Troubleshoot issues related to model performance, scalability, and reliability.

    Job Requirements :

    • 7-10 years of experience in developing large language models using machine learning techniques.
    • Strong proficiency in Python programming language with expertise in API design and development.
    • Experience with workflow builder tools for automating tasks and processes.
    • Knowledge of retrieval augmented generation (RAG) techniques for improving model performance.

    Sourced from naukri

    Skills

    Retrieval Augmented Generationworkflow builderLarge Language Modelagentic frameworkPythonLanggraphLangchainApi Design And DevelopmentMachine Learning

    About Quess IT Staffing Solutions

    Quess IT Staffing Solutions logo

    Quess IT Staffing Solutions

    1997

    29 years old

    Bangalore / Bengaluru, Karnataka

    India

    ₹6.2L PA avg

    Avg at Quess IT Staffing Solutions

    Up to ₹30.0L PA

    This role

    About

    Magna Infotech, now Quess IT Staffing, is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills.

    Industries

    AutomobileRecruitment

    Employee ratings

    10 reviews

    3.2/ 5

    Culture

    3.2

    Career growth

    2.3

    Work-life

    2.8

    Employees rate it well for

    Work-Life Balance32Overall Company32

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