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

Company: Crossing Infotech

Job Type: Full-time Internship

Work Mode: Virtual / Remote

Location: India

Internship Duration: 1–3 months

Stipend: ₹16,500/month

Application Deadline: 20 September 2026

About the opportunity

Crossing Infotech is offering a Machine Learning Internship for freshers and entry-level candidates interested in machine learning, Python, data preparation, predictive modeling, model evaluation, and practical AI projects.

The internship provides structured exposure to the machine learning lifecycle, from preparing datasets and selecting features to training models, evaluating results, and documenting experiments.

Key responsibilities

• Prepare and organize datasets for machine learning projects.

• Clean and preprocess data before model development.

• Perform exploratory data analysis to understand datasets and identify patterns.

• Use Python libraries for data preparation and machine learning experiments.

• Assist with implementing supervised and unsupervised learning algorithms.

• Train machine learning models using appropriate datasets.

• Divide datasets into training, validation, and testing sets where applicable.

• Evaluate model performance using relevant metrics.

• Experiment with features and model parameters under guidance.

• Compare different model approaches and document observations.

• Create visualizations to understand data and model results.

• Maintain clear documentation of experiments, results, and technical decisions.

Who can apply

• Freshers and recent graduates.

• Students or graduates from Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or related fields.

• Candidates with academic, personal, or portfolio projects involving machine learning.

• Candidates interested in Machine Learning, Artificial Intelligence, or Data Science careers.

Required skills

• Basic to intermediate knowledge of Python.

• Understanding of fundamental machine learning concepts.

• Basic knowledge of statistics and probability.

• Understanding of data preprocessing.

• Familiarity with supervised learning concepts.

• Basic understanding of model evaluation.

• Analytical and problem-solving ability.

• Willingness to learn and experiment with different approaches.

Preferred skills

• Familiarity with Scikit-learn.

• Knowledge of Pandas and NumPy.

• Basic understanding of regression and classification.

• Exposure to clustering algorithms.

• Familiarity with Matplotlib or other visualization libraries.

• Understanding of feature engineering.

• Knowledge of evaluation metrics such as accuracy, precision, recall, F1-score, or RMSE.

• Familiarity with Jupyter Notebook and Git.

What you will learn

• Complete machine learning project workflows.

• Data preprocessing and feature preparation.

• Exploratory data analysis for ML projects.

• Supervised and unsupervised learning fundamentals.

• Model training and evaluation.

• Feature engineering techniques.

• Model comparison and experiment documentation.

• Practical use of Python ML libraries.

• Interpreting machine learning results.

Ideal candidate profile

We are looking for candidates who are:

• Interested in building a career in machine learning or AI.

• Comfortable working with Python and data.

• Curious about how predictive models work.

• Strong in logical and analytical thinking.

• Willing to experiment and learn from model results.

• Detail-oriented when preparing data and evaluating models.

• Comfortable working independently and collaborating with a remote team.

Why join Crossing Infotech

• Full-time remote internship opportunity.

• Practical exposure to machine learning workflows.

• Opportunity to work with Python, Pandas, NumPy, and Scikit-learn.

• Structured machine learning project assignments.

• Exposure to model training, evaluation, and feature engineering.

• Opportunity to develop portfolio-relevant ML projects.

• Beginner-friendly opportunity for freshers.

• Experience relevant to Machine Learning Engineer, Data Scientist, AI, and Data Analytics career paths.

Application deadline: 20 September 2026

If you are a fresher interested in machine learning and want practical experience with Python, data preprocessing, model development, evaluation, and machine learning libraries, this internship provides a structured environment to develop your technical skills.

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