Machine Learning Intern

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Remote

Job Type

Internship

Job Description

Machine Learning Intern (Unpaid)

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About Webs IT Solution

Webs IT Solution is a technology and training organization focused on building future-ready tech professionals. The company specializes in software development, data science, machine learning, and cybersecurity, offering real-world exposure through live projects and structured mentorship.

Role Overview

As a Machine Learning Intern, you will gain hands-on experience in data preprocessing, model development, and performance evaluation. This role involves working with real datasets to build intelligent systems and contribute to applied machine learning solutions for business and technology use cases.

Key Responsibilities

  • Collect, clean, and preprocess datasets for machine learning models
  • Perform Exploratory Data Analysis (EDA) and feature engineering
  • Build, train, and evaluate supervised and unsupervised learning models
  • Use tools such as Scikit-learn, TensorFlow, or PyTorch for model development
  • Evaluate model performance using metrics like accuracy, precision, and recall
  • Implement predictive and classification algorithms
  • Collaborate with mentors to optimize models and improve deployment readiness
  • Research emerging machine learning tools, libraries, and techniques

Requirements

  • Currently pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields
  • Strong programming skills in Python, including NumPy, Pandas, and Scikit-learn
  • Understanding of machine learning algorithms, statistics, and data visualization
  • Familiarity with Jupyter Notebook, TensorFlow, or PyTorch
  • Strong analytical mindset with problem-solving and research skills

What You Will Gain

  • Certificate of Internship
  • Hands-on exposure to real-world machine learning projects
  • Mentorship from experienced data scientists and ML engineers
  • Opportunity to build portfolio-ready ML projects
  • Networking and career support opportunities
  • Potential full-time role based on performance


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