Machine Learning Intern (Python, Scikit-learn, Model Training, Feature Engineering)

Skillzen Loop; India; Remote; INR 112,000 - 134,000; Full time

Benefits offered by this job

Remote internship

Mentorship

Certificate on completion

Job summary

SkillzenLoop is offering a full-time remote Machine Learning Intern position in India. You will work on a real dataset, build models with Python and Scikit-learn, and document experiments.

You’ll learn end-to-end ML workflow from data cleaning to evaluation and interpretation, with weekly reviews and mentorship.

Qualifications

• Proficiency in Python with Pandas and NumPy.
• Understanding of ML concepts and common algorithms.
• Ability to run experiments and record results.
• Laptop and stable internet connection.

Responsibilities

• Set up Python environment and load a real dataset.
• Engineer features from raw data and train baseline models.
• Tune algorithms, check for overfitting and bias.
• Document experiments and share results daily.
• Present findings in weekly reviews.

Skills

Python

Statistics

Experimentation

Problem solving

Education

B.Tech/B.E./BCA/BSc/MCA/MSc or related

Tools

Scikit-learn

TensorFlow

PyTorch

Jupyter

Job description

Job Title: Machine Learning Intern (Python, Scikit-learn, Model Training, Feature Engineering)

Location: India

Workplace Type: Remote

Employment Type: Full-time internship

Duration: 1 to 3 months

Stipend: INR 10,000 to 12,000 per month

The short version

A model that scores well in a notebook is only the first step. The harder skill is knowing why it works, where it fails and how to improve it. In this internship at SkillzenLoop you will take a problem from raw data to a trained, tested and explained model, and learn how machine learning is applied to real business questions.

What your first weeks look like

• Week 1: set up Python and Jupyter, load a real dataset, and clean and preprocess it
• Week 2: engineer useful features from raw fields and train a first baseline model with Scikit-learn
• Week 3: try other algorithms, tune parameters, and check for overfitting and bias
• Week 4: compare results using metrics such as accuracy, precision, recall and F1 score, package a simple demo and present your findings
• Every day: document your experiments so others can repeat them and share progress in a short check-in

Skills you should already have

• Working knowledge of Python, including Pandas and NumPy
• Understanding of core machine learning concepts and common algorithms
• Comfort with basic maths and statistics
• The habit of running experiments and recording what worked and what did not
• A laptop and a stable internet connection

Skills that will help but is not required

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

Open to

• Final-year students and recent graduates from B.Tech, B.E., BCA, B.Sc (CS, IT, Maths, Statistics), MCA, M.Sc or related streams
• Self-taught learners who can show a project or certificate
• Freshers, with no prior experience needed
• Candidates who can work full-time for the internship period

What you take away

• Practical experience with the complete machine learning workflow
• Regular feedback from experienced team members
• Models and project notebooks you can show in interviews
• The freedom to work from your own city anywhere in India

Full-time, Monday to Saturday or as assigned by your reporting manager, with a short daily check-in and a weekly review.

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