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Artificial Intelligence & Machine Learning Intern

Artificial Intelligence & Machine Learning Intern

InLighnX Global Private Limited

0 years

0 Lacs

India

Posted:1 day ago| Platform:

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Skills Required

learning ai ml coding experimentation algorithms regression clustering pipeline preprocess svm recognition analysis visualize model power git github code evaluation data numpy deployment flask portfolio engineering

Work Mode

Remote

Job Type

Internship

Job Description

Artificial Intelligence & Machine Learning Intern

📍 Location:

📅 Duration:

💸 Stipend for Top Interns:

🎁 Perks:

About

INLIGHN TECH

hands-on, project-based virtual internships

🚀 Internship Overview

AI & Machine Learning Intern

🔧 Key Responsibilities

Clean and preprocess datasets for machine learning
Build and evaluate models using libraries like
Scikit-learn
,
TensorFlow
, or
PyTorch
Implement algorithms such as
Linear Regression, Decision Trees, SVM, K-Means, and Neural Networks
Work on
real-world AI applications
like image recognition, sentiment analysis, or recommendation systems
Visualize model performance using
Matplotlib
,
Seaborn
, or
Power BI
Collaborate in a team environment using Git/GitHub and participate in code reviews
Document model assumptions, evaluation results, and future improvements

✅ Qualifications

Pursuing or recently completed a degree in
Computer Science, AI, Data Science
, or a related field
Strong foundation in
Python
,
statistics
, and
machine learning concepts
Familiarity with
Numpy, Pandas, Scikit-learn
, and
deep learning frameworks
Understanding of the
ML lifecycle
, from data collection to deployment
Good problem-solving skills and an eagerness to learn
Bonus: experience with
NLP, computer vision
, or
ML model deployment (Flask/Streamlit)

🎓 What You’ll Gain

Hands-on experience with
real-time AI and ML projects
A portfolio of
ML models, visualizations, and predictive tools
Internship Certificate upon successful completion
Letter of Recommendation for top performers
Opportunity for a
Full-Time Offer
based on your work
A strong foundation to pursue roles in
ML engineering, data science, and AI research

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