Data Science & Machine Learning -Internship2026

Machine Learning Intern

Job Description

We are looking for a passionate Machine Learning Intern to join our AI team. This internship offers a unique opportunity to work on real-world industrial AI applications, analyze manufacturing data, and contribute to intelligent solutions that create measurable business impact.

What You’ll Do

• Build, train, and evaluate machine learning models for real business challenges.
• Analyze large datasets and generate actionable insights.
• Create clear visualizations and reports to communicate findings.
• Document experiments, model performance, and technical assumptions.
• Collaborate with Product, Engineering, and AI teams to develop data-driven solutions.
• Participate in improving AI-powered features used by manufacturing customers.

Requirements

Education

Currently pursuing or recently graduated (2025 or 2026) with a Bachelor’s degree in one of the following:

• Computer Science
• Artificial Intelligence
• Data Science
• Computer Engineering
• Software Engineering or a related field

Technical Skills

• Good knowledge of Python.
• Understanding of Machine Learning fundamentals.
• Basic knowledge of Data Analysis and Statistics.
• Familiarity with libraries such as Pandas, NumPy, or Scikit-learn is a plus.

Soft Skills

• Strong analytical and problem-solving abilities.
• Curiosity and willingness to learn new technologies.
• Excellent attention to detail.
• Good communication and documentation skills.
• Ability to work effectively in a collaborative team environment.

Why Join Garment IO?

• Work on real AI and Machine Learning projects used in manufacturing.
• Gain hands-on experience with industrial data and production systems.
• Learn from experienced AI, Product, and Engineering professionals.
• Develop practical skills in Machine Learning, Data Analytics, and Applied AI.
• Contribute to innovative products that directly impact factory performance.
• Build a strong foundation for a successful career in Artificial Intelligence and Data Science.
• Potential opportunity for future full-time employment based on performance.