Hiring alert As a Machine Learning Intern, you will gain practical experience in data preprocessing, model development, and performance evaluation. You’ll work on real datasets to build intelligent systems and contribute to projects that apply machine learning for business and technology solutions. Key Responsibilities Collect, clean, and preprocess datasets for model training. Build and train supervised and unsupervised learning models using Scikit-learn, TensorFlow, or PyTorch. Perform EDA (Exploratory Data Analysis) and feature engineering. Evaluate model performance using metrics such as accuracy, precision, and recall. Implement predictive and classification algorithms. Collaborate with mentors to optimize models and improve deployment readiness. Research emerging ML tools, libraries, and techniques. Requirements Pursuing/completed Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related fields. Strong programming skills in Python (NumPy, Pandas, Scikit-learn). Understanding of machine learning algorithms, statistics, and data visualization. Familiarity with Jupyter Notebook, TensorFlow, or PyTorch. Analytical mindset with problem-solving and research skills. Perks & Benefits Certificate of Internship from Webs IT Solution. Hands-on exposure to real-world ML projects. Mentorship from experienced data scientists and ML engineers. Networking and career support opportunities. Potential conversion to full-time employment.