Machine Learning Intern

About the Role

• Assist in developing, testing, and evaluating machine learning solutions for practical applications.
• Gain practical exposure to data preprocessing, feature engineering, model development, model evaluation, and visualization.

Key Responsibilities

• Collect, clean, and preprocess datasets for machine learning projects.
• Perform exploratory data analysis to understand datasets and identify patterns.
• Assist in selecting relevant features for machine learning models.
• Develop and train basic machine learning models.
• Evaluate model performance using appropriate metrics.
• Assist in improving model accuracy and performance.
• Create visualizations to communicate analysis and model results.
• Document experiments, methodologies, and findings.
• Research machine learning techniques and industry practices.
• Collaborate with team members on practical machine learning projects.

Requirements & Tech Stack

• Currently pursuing or recently graduated in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• Strong interest in machine learning and artificial intelligence.
• Willingness to learn and work on practical machine learning projects.
• Basic knowledge of Python.
• Understanding of statistics and data analysis concepts.
• Familiarity with Pandas, NumPy, or Scikit-learn is preferred.
• Basic understanding of supervised and unsupervised learning concepts.
• Good analytical and problem-solving skills.
• Good communication and teamwork skills.

Perks & Benefits

• Internship Certificate.
• Letter of Recommendation based on performance.
• Swags and Goodies.
• Opportunity to work on real-world machine learning projects.
• Practical industry exposure and mentorship.
• Performance-based stipend up to ₹7,500/-.