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    AI/ML Data Scraping Intern

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    AI/ML Data Scraping Intern

    Help Study AbroadRemoteIN₹3,500 - ₹4,000 / monthINTERN

    Job Description

    Job description:

    AI/ML & Data Scraping Intern

    Duration: 2 Months

    Stipend: ₹4,000 fixed per month

    Work Mode: Remote

    About the Role

    We are looking for a motivated AI/ML & Data Scraping Intern to assist our team with data collection, web scraping, data cleaning, and basic machine-learning-related tasks. This is a hands-on opportunity for someone interested in AI, ML, Python, and working with real-world datasets.

    Key Responsibilities

    Data scraping and cleaning

    Working with large datasets

    Finding efficient ways to extract/download data from different URLs

    Cleaning, organizing, and structuring the collected data

    Required skills:

    Python and Java

    Strong understanding of data handling and scraping

    Familiarity with building automation systems is preferred.

    - Basic knowledge of Python.

    - Understanding of HTML, CSS, and web structure.

    - Familiarity with data scraping tools/libraries such as BeautifulSoup, Selenium, or Scrapy is preferred.

    - Basic understanding of AI/ML and data handling.

    - Knowledge of Pandas and NumPy is an advantage.

    - Good analytical and problem-solving skills.

    - Willingness to learn and work in an in-office environment.

    Who Can Apply?

    - Students or freshers pursuing/completing a degree in Computer Science, IT, Data Science, AI/ML, or a related field.

    - Candidates with relevant personal, academic, or project experience are encouraged to apply.

    Internship Details

    - Duration: 2 Months

    - Stipend: ₹4,000 fixed per month

    - Location: Remote

    - Type: Internship

    - Joining: Immediate/As per availability

    What You’ll Gain

    - Practical experience in web scraping and data preparation.

    - Exposure to real-world AI/ML workflows.

    - Hands-on experience with Python and data-processing tools.

    Benefits:


    1. Flexible schedule
    2. Paid time off


    Work Location: Remote