Machine Learning Intern

Company:

About Pixeltalent Lab

Pixeltalent Lab offers project-based internships designed to help aspiring data scientists and ML engineers gain practical experience. Our Machine Learning Internship provides exposure to real-world datasets, model development, and deployment workflows.

Role Overview

As a Machine Learning Intern, you’ll work on building, training, and evaluating ML models using Python and popular libraries. You’ll contribute to data preprocessing, feature engineering, and model optimization tasks across live projects.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured data
• Implement ML algorithms using libraries such as scikit-learn, TensorFlow, or PyTorch
• Perform exploratory data analysis and feature selection
• Train, test, and validate predictive models
• Optimize model performance and interpret results
• Document workflows and collaborate with team members

Requirements

• Pursuing or recently completed a degree in Computer Science, Data Science, or related field
• Proficiency in Python and ML libraries (scikit-learn, pandas, NumPy)
• Understanding of supervised and unsupervised learning techniques
• Familiarity with Jupyter Notebooks and version control (Git)
• Strong analytical and problem-solving skills
• Ability to work independently and meet deadlines

What You’ll Gain

• Hands-on experience with end-to-end ML workflows
• Internship Completion Certificate
• Letter of Recommendation for top performers
• Exposure to real datasets and model deployment practices
• A portfolio of ML projects and documented case studies