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Machine Learning Intern | Entry Level | Fresher | Python, Machine Learning, Scikit-learn | Remote

Medinex WorkforcePortland, MERemoteL1 InternSeptember 19th, 2026
Machine Learning Intern | Entry Level | Fresher | Python, Machine Learning, Scikit-learn | RemoteCompany: Medinex WorkforceJob Type: Full-time InternshipWork Mode: Virtual / RemoteLocation: IndiaInternship Duration: FlexibleStipend: ₹14,500 – ₹15,900/monthApplication Deadline: 20 September 2026About the opportunityMedinex Workforce is offering a Machine Learning Internship for freshers and entry-level candidates who want to gain practical experience in preparing datasets, developing machine learning models, evaluating results, and understanding applied AI workflows.This internship is suitable for candidates with a foundation in Python, statistics, and programming who want to explore how machine learning techniques can be applied to practical datasets and projects.Key responsibilities• Prepare, clean, and organize datasets for machine learning projects.• Perform exploratory data analysis to understand data patterns.• Apply data preprocessing techniques such as handling missing values and feature preparation.• Develop basic machine learning models using Python and Scikit-learn.• Work with supervised and introductory unsupervised learning techniques.• Train, test, and evaluate machine learning models.• Compare model performance using appropriate evaluation metrics.• Document experiments, assumptions, results, and observations.• Identify data-quality issues that may affect model performance.• Assist with improving models through appropriate feature and parameter adjustments.• Create visualizations to communicate model results and data patterns.• Collaborate with team members on assigned machine learning projects.Who can apply• Freshers and recent graduates.• Students or graduates from Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Information Technology, Engineering, or related fields.• Candidates with basic knowledge of Python and statistics.• Candidates who have completed academic or personal machine learning projects.• Applicants interested in Machine Learning, Artificial Intelligence, Data Science, or Data Analytics.Required skills• Basic to intermediate knowledge of Python.• Understanding of fundamental machine learning concepts.• Basic knowledge of statistics and probability.• Familiarity with data preprocessing and exploratory analysis.• Basic understanding of supervised learning.• Familiarity with Scikit-learn or similar machine learning libraries.• Analytical and problem-solving ability.• Willingness to learn and experiment with different approaches.Preferred skills• Knowledge of NumPy and Pandas.• Familiarity with Matplotlib or other visualization libraries.• Understanding of regression and classification algorithms.• Basic knowledge of clustering techniques.• Familiarity with Jupyter Notebook.• Understanding of model evaluation metrics.• Basic knowledge of feature engineering.• Exposure to Git or version control.What you will learn• Preparing datasets for machine learning.• Data preprocessing and feature preparation.• Building machine learning models with Python.• Using Scikit-learn for model development.• Training, testing, and evaluating models.• Understanding model performance metrics.• Basic feature engineering techniques.• Experiment tracking and documentation.• Applying machine learning concepts to practical projects.• Communicating technical findings clearly.Ideal candidate profileWe are looking for candidates who are:• Interested in artificial intelligence and machine learning.• Comfortable with Python and basic mathematical concepts.• Curious about how predictive models work.• Willing to experiment, test, and improve solutions.• Detail-oriented when working with data and model results.• Able to learn independently and work on assigned projects.• Interested in building a career in machine learning or AI.Why join Medinex Workforce?• Virtual / Remote internship opportunity.• Flexible internship duration.• Practical exposure to Python and machine learning workflows.• Project-based learning suitable for freshers.• Opportunity to build machine learning projects for your portfolio.• Exposure to data preparation, model development, and evaluation.• Experience relevant to Machine Learning, AI, Data Science, and Data Analytics career paths.Application deadline: 20 September 2026If you are a fresher interested in machine learning and want to apply Python and analytical skills to practical projects, this internship provides an opportunity to develop a strong foundation in machine learning workflows.#MachineLearning #MachineLearningIntern #Python #ScikitLearn #ArtificialIntelligence #DataScience #Internship #FresherJobs #EntryLevelJobs #RemoteInternship #IndiaJobs