Machine Learning | Entry Level | Fresher Internship (Python, Scikit-learn, Model Evaluation)

MediNex Workforce; India; Remote; INR 100,000 - 167,000; Full time

Job summary

Medinex Workforce invites applicants for a Machine Learning | Entry Level | Fresher Internship (Python, Scikit-learn, Model Evaluation). This remote, full-time internship lasts 1 to 3 months and offers a stipend up to INR 15,000 per month.

You will collect and preprocess recruitment data, engineer features, train and compare models using Scikit-learn, and document notebooks for reproducibility. Strong Python and ML basics are required; freshers welcome.

Qualifications

• Good 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 improving results step by step.
• A laptop and stable internet connection for full-time remote work.

Responsibilities

• Collect, clean and preprocess recruitment data for model training
• Engineer useful features from raw fields such as skills, experience and location
• 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 with 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

Skills

Python

Pandas

NumPy

ML concepts

Statistics

Experimentation

Remote work readiness

Education

CS/IT degree

MCA/MSc in related field

Job description

Job Title: Machine Learning | Entry Level | Fresher Internship (Python, Scikit-learn, Model Evaluation)

Company: Medinex Workforce

Location: India

Workplace Type: Remote

Employment Type: Full-time internship

Duration: 1 to 3 months

Stipend: Up to INR 15,000 per month

About the internship

Medinex Workforce matches a large number of candidate profiles to client roles, and much of that matching still depends on manual judgement. We want to find out where a model can help: ranking profiles against a requirement, predicting which candidates are likely to join after an offer, or flagging roles that may take longer than usual to fill. In this internship you will work on questions like these, from raw data to a trained and tested model, and learn how to defend a result with numbers instead of guesses.

What you will do

• Collect, clean and preprocess recruitment data for model training
• Engineer useful features from raw fields such as skills, experience and location
• 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 with 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

What we are looking for

• Good 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 improving results step by step
• A laptop and stable internet connection for full-time remote work

Nice to have

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

Who can apply

• 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 are welcome, and prior experience is not required
• You must be available full-time for the internship period

What you will gain

• Practical experience with the complete machine learning workflow
• Regular guidance and feedback from experienced team members
• Models and project notebooks you can show in future 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 daily check-ins and a weekly review.

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