Machine Learning Intern | Entry Level | Fresher | Python / Model Training / Feature Engineering | Remote

Job Title: Machine Learning Intern | Entry Level | Fresher | Python / Model Training / Feature Engineering | Remote

Company: SkillzenLoop

Internship Details

Mode: Virtual / Remote (India)

Duration: 1 to 3 months (Flexible)

Employment Type: Full-time internship

About the Opportunity

SkillzenLoop is hiring Machine Learning Interns for freshers and entry-level candidates who want to learn how a model goes from raw data to a tested result. This internship is built around practical machine learning work: preparing data, engineering features, training models in Scikit-learn and measuring how well they perform.

This role suits candidates who want to build a career in machine learning, applied AI, data science or predictive modelling.

Role Overview

As a Machine Learning Intern, you will work on structured modelling assignments under the guidance of experienced team members. You will learn how professionals compare algorithms, check for overfitting and bias, and explain results with the right metrics instead of guesses.

Key Responsibilities

• Collect, clean and preprocess data for model training
• Engineer useful features from raw data
• Train classification, regression and clustering models using Scikit-learn
• Compare different algorithms and record what worked and what did not
• Tune model parameters and check for overfitting and bias
• Measure performance using metrics such as accuracy, precision, recall and F1 score
• Package simple model demos so the team can try them out
• Document notebooks and experiments so others can repeat your work

Who Can Apply

• Freshers, entry-level candidates, or students pursuing or completing B.Tech, B.E., BCA, B.Sc (CS, IT, Maths, Statistics), MCA, M.Sc or related degrees
• Self-taught learners who can show their skills through Kaggle notebooks, GitHub projects or certificates
• Candidates interested in machine learning and predictive modelling
• Candidates available to work full-time for the internship period

Required Skills

• Good working knowledge of Python, including Pandas and NumPy
• Understanding of core machine learning concepts and common algorithms
• Comfort with basic maths and statistics
• Habit of running experiments and improving results step by step
• Clear written English for documentation
• A laptop and a stable internet connection for remote work

Preferred Skills (Not Mandatory)

• Hands-on experience with Scikit-learn
• Exposure to TensorFlow or PyTorch
• A Kaggle notebook, GitHub project or certificate

What You Will Learn

• The complete machine learning workflow, from data to evaluation
• Feature engineering and preprocessing techniques
• Model selection and hyperparameter tuning
• Choosing and interpreting evaluation metrics
• Documenting experiments professionally

Why Join SkillzenLoop

• Beginner-friendly, project-based internship
• Work from your own city anywhere in India
• Regular feedback and guidance from experienced team members
• Models and project notebooks you can show in future interviews
• Certificate of completion on successful completion of the internship

Ideal Candidate Profile

We are looking for curious, patient candidates who enjoy experimenting and improving results step by step. If you like finding out why a model works or fails, this internship is a strong starting point.

How to Apply

Apply on this listing with your updated resume. If you have a Kaggle profile, a GitHub project or a project notebook, add the link so we can review your application faster. In the application form, select "Machine Learning" under Job Position.

SkillzenLoop is an equal opportunity employer. We welcome applicants of every gender, background and community.