Machine Learning Intern | Freshers Welcome | Python, ML & Data Analysis | Remote

Crossing Infotech; India; Remote; INR 134,000 - 223,000; Part time

Job summary

Crossing Infotech is seeking a Machine Learning Intern to gain hands-on experience in data preparation, model development, and evaluation using Python-based tools. This remote role in India is open to freshers for 1-3 months.

You will work on datasets, feature engineering, and basic ML algorithms, with guidance. Ideal candidates include students or recent graduates in CS/DS/AI/ML and related fields.

Qualifications

• Basic statistics and probability fundamentals.
• Familiarity with supervised and unsupervised learning concepts.
• Academic or personal ML projects are welcome.

Responsibilities

• Prepare and organize datasets for ML experiments.
• Perform data cleaning, preprocessing, and exploratory analysis.
• Identify relevant features for modeling tasks.
• Implement introductory ML algorithms using Python.
• Experiment with classification, regression, and clustering.
• Train and evaluate models using appropriate metrics.
• Document observations and experiment results.
• Assist in feature engineering and parameter tuning.

Skills

Statistical basics

ML concepts

Data preprocessing

Pandas & NumPy

Analytical thinking

Education

Currently pursuing CS/DS degree

Tools

Jupyter Notebook

Git/GitHub

SQL

Job description

Machine Learning Intern | Freshers Welcome | Python, ML & Data Analysis | Remote

Company: Crossing Infotech

Job Type: Internship

Work Mode: Remote

Location: India

Duration: 1-3 months

Internship Overview

Crossing Infotech is seeking a Machine Learning Intern interested in understanding how data can be transformed into useful predictive solutions. This internship provides practical exposure to data preparation, model development, experimentation, and evaluation while working with Python-based tools.

What You'll Work With

• Prepare and organize datasets for machine learning experiments.
• Perform data cleaning, preprocessing, and basic exploratory analysis.
• Identify relevant features for different modeling tasks.
• Implement introductory machine learning algorithms using Python.
• Experiment with classification, regression, and clustering approaches.
• Train and evaluate models using appropriate performance metrics.
• Compare different approaches and document observations.
• Investigate model errors and data-quality problems.
• Assist in improving models through feature engineering and parameter tuning.
• Maintain clear notes about experiments, datasets, and results.

Ideal Candidate

• Students, recent graduates, or entry-level candidates from Computer Science, Data Science, AI/ML, Statistics, Mathematics, Engineering, or related fields.
• Comfortable with basic programming concepts.
• Interested in learning how machine learning models are developed and evaluated.
• Candidates with academic or personal ML projects are welcome.

Core Skills

• Basic statistics and probability
• Understanding of supervised and unsupervised learning
• Data preprocessing
• Pandas and NumPy
• Problem-solving and analytical thinking

Additional Skills That Help

• Scikit-learn
• Jupyter Notebook
• Matplotlib or Seaborn
• SQL
• Git/GitHub
• Regression and classification algorithms
• Basic knowledge of feature engineering

What You'll Learn

• How a typical machine learning workflow is structured.
• Techniques for preparing data for modeling.
• How to train, test, and evaluate predictive models.
• How to interpret model results and identify weaknesses.
• How to document experiments and communicate technical findings.
• Practical habits for working with Python-based ML projects.

Why This Internship?

If you are building your foundation in machine learning, Python, and data analysis, this internship offers an opportunity to turn theoretical knowledge into practical project experience.

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