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    Home/Jobs/AI/ML Developer

    AI/ML Developer

    Nanira Tech Private Limited

    Chennai
    2+ years
    Today
    ₹4–7 LPA
    Onsite

    Skills Required

    LLM
    RAG
    Gen AI
    Python
    Scikit-learn
    TensorFlow
    PyTorch
    Pandas
    NumPy
    SQL
    AWS
    Azure
    GCP
    Git
    MLOps

    Description

    We are looking for an AI/ML Engineer with 2+ years of experience to build, train, and deploy machine learning models and support AI-driven solutions in Chennai.

    Role: AI/ML Engineer

    Location: Chennai | In person

    Experience:

    • 2+ years of experience in AI/ML or data science roles
    • 4-6 Years

    Qualification:

    • Bachelor's degree in Computer Science
    • Bachelor's degree in Engineering
    • Bachelor's degree in Data Science
    • Bachelor's degree in a related field

    Responsibilities:

    • Design, build, and train machine learning models for real-world use cases
    • Prepare, clean, and analyze datasets for model development
    • Deploy models into production and monitor their performance
    • Work with APIs and integrate ML models into applications
    • Collaborate with the team on requirements, testing, and improvements
    • Document work clearly and keep code well organized

    Nice to have:

    • Working knowledge of Large Language Models (LLMs)
    • Experience with RAG (Retrieval-Augmented Generation) or generative AI
    • Exposure to cloud platforms (AWS, Azure, or GCP)
    • Experience with Git
    • Basic MLOps practices

    More skills:

    machine learning fundamentals, regression, classification, model evaluation, databases

    Other:

    • Pay: ₹30,000.00 - ₹60,000.00 per month

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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