Machine Learning Intern

Machine Learning Intern

Company: Skillzenloop

Location: Remote

Internship Type: Full-Time

Duration: 13 Months

Stipend: 15,000 per month

About the Internship

Skillzenloop is seeking a motivated and analytical Machine Learning Intern to work on real-world data-driven and AI-based projects. This internship is ideal for candidates who want practical exposure to machine learning algorithms, model development, and applied analytics in a professional remote environment.

Key Responsibilities

Assist in building, training, and evaluating machine learning models

Work with structured and unstructured datasets

Perform data preprocessing, feature engineering, and data cleaning

Implement machine learning algorithms such as regression, classification, and clustering

Analyze model performance and optimize results

Collaborate with data scientists and developers on live projects

Document models, workflows, and results

Eligibility Criteria

Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, Statistics, or a related field

Strong understanding of Python programming

Basic knowledge of machine learning concepts and algorithms

Familiarity with libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow is a plus

Understanding of data analysis and statistics fundamentals

Exposure to SQL or data visualization tools is an advantage

Strong analytical and problem-solving skills

Ability to work independently in a remote environment

What We Offer

Hands-on experience with real-world machine learning projects

Mentorship from experienced AI and data professionals

Exposure to industry-standard ML tools and workflows

Internship Certificate upon successful completion

Opportunity for future full-time roles based on performance