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Artificial Intelligence & Machine Learning Intern

Artificial Intelligence & Machine Learning Intern

ConfidentialIndia
30+ days ago
Job description

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months)

Company : INLIGHN TECH

Location : Remote

Duration : 3 Months

Stipend (Top Performers) : ₹15,000

Perks : Certificate | Letter of Recommendation | Hands-on Training

About INLIGHN TECH

INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms.

Role Overview

As an AI & ML Intern , you'll work on projects involving model development, data preprocessing, and algorithm implementation. You&aposll gain practical experience applying artificial intelligence concepts to solve real business problems.

Key Responsibilities

  • Collect and preprocess structured and unstructured data
  • Implement supervised and unsupervised machine learning algorithms
  • Work on deep learning models using frameworks like TensorFlow or PyTorch
  • Evaluate model performance and tune hyperparameters
  • Develop intelligent solutions and predictive systems
  • Collaborate with peers on AI-driven projects

Requirements

  • Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field
  • Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn
  • Familiar with machine learning and deep learning concepts
  • Knowledge of TensorFlow, Keras, or PyTorch is a plus
  • Strong mathematical and analytical thinking
  • Enthusiastic about AI / ML innovations and eager to learn
  • What You'll Gain

  • Real-world experience developing AI and ML models
  • Internship Completion Certificate
  • Letter of Recommendation for high-performing interns
  • Portfolio of AI / ML projects for career building
  • Potential full-time offer based on performance
  • Show more

    Show less

    Skills Required

    Tensorflow, Numpy, Pytorch, Pandas, Keras, Python

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