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Skillzenloop

Artificial Intelligence and Machine Learning Intern

Fresher
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  • Posted 25 days ago
  • Over 50 applicants

Job Description

Artificial Intelligence and Machine Learning Intern

Company: Skillzenloop

Location: Remote

Internship Type: Full-Time

Duration: 13 Months

Stipend: 15,000 per month

About the Internship

Skillzenloop is looking for a highly motivated Artificial Intelligence and Machine Learning Intern to work on intelligent systems and data-driven solutions. This internship offers practical exposure to AI/ML concepts, model development, and real-world applications in a remote professional environment.

Key Responsibilities

Assist in designing, developing, and deploying AI and machine learning models

Work with large datasets for training and evaluation

Perform data preprocessing, feature engineering, and model optimization

Implement machine learning algorithms for classification, regression, and clustering

Explore deep learning concepts for image, text, or signal-based applications

Evaluate model performance and improve accuracy and efficiency

Collaborate with data scientists and engineers on live AI projects

Document models, experiments, and technical workflows

Eligibility Criteria

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

Strong knowledge of Python programming

Understanding of machine learning algorithms and AI fundamentals

Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is a plus

Basic understanding of statistics, linear algebra, and probability

Exposure to SQL or data visualization tools is an advantage

Strong analytical and problem-solving skills

Ability to work independently in a remote environment

What We Offer

Hands-on experience with real-world AI and ML projects

Mentorship from experienced AI professionals

Exposure to industry-standard AI/ML tools and practices

Internship Certificate upon successful completion

Opportunity for future full-time roles based on performance

More Info

About Company

Job ID: 140783297