Machine Learning Intern

Machine Learning Intern (Paid Internship)

Company: Infrabyte Consulting

Location: Remote

Duration: 1–3 Months

Stipend: ₹15,000 per month

Job Type: Internship (Full-Time)

Opportunity: Certificate of Internship + Full-Time Role Based on Performance

About Infrabyte Consulting

Infrabyte Consulting is a technology-driven IT and analytics company providing innovative AI, machine learning, and data-driven solutions. We help organizations improve efficiency, automate processes, and unlock insights using advanced algorithms and intelligent systems.

Role Overview

We are seeking a highly motivated Machine Learning Intern to join our AI & Data Science team. This internship offers hands-on experience in ML model building, data preprocessing, and working with real-world datasets under expert guidance.

Key Responsibilities

• Clean, preprocess, and analyze datasets for machine learning projects.

• Build and evaluate ML models using algorithms such as regression, classification, clustering, and decision trees.

• Work with Python libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or Keras.

• Assist in developing and optimizing ML pipelines.

• Conduct exploratory data analysis (EDA) and create visualizations.

• Collaborate with the team to integrate ML models into applications.

• Document experiments, results, and model performance metrics.

Requirements

• Currently pursuing or recently completed a degree in Machine Learning, Data Science, Computer Science, or a related field.

• Strong understanding of Python and ML fundamentals.

• Familiarity with libraries such as Scikit-learn, TensorFlow, Keras, or PyTorch.

• Basic knowledge of statistics, probability, and data preprocessing techniques.

• Good problem-solving skills and analytical thinking.

• Eagerness to learn and work on real-world AI/ML projects.

Perks & Benefits

• Stipend of ₹15,000 per month.

• Internship certificate upon successful completion.

• Mentorship from experienced ML engineers and data scientists.

• Opportunity to work on live AI/ML projects.

• Full-time role opportunity based on performance.