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AI Internship

InternshipRemoteOnline
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Deadline: 14/09/2026

Skills for this role

Skills we detected for this role.

  • Python
  • Git
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Pandas
  • NumPy
  • Statistics
  • Generative AI
  • Cybersecurity

Opportunity brief

About Company:

CyArt is an innovative and emerging center which provides services of Cyber Security, Artificial Intelligence, Web Development, Cloud Solutions,  and many more services related to the IT sector and for the enhancement of the community.

Job Overview:

We are seeking amazing young talents to join our AI Team as interns. This internship is an ideal opportunity for students pursuing a degree in Artificial Intelligence or a related field in Computer Science to gain hands-on experience in developing models and conducting research.

Responsibilities:

  • Collaborate with the team to design and build Machine Learning (ML) and Deep Learning (DL) models.
  • Customize and apply large AI models (like foundation models or LLMs) to solve specific business problems.
  • Use version control tools (like Git) to keep code organized and make team collaboration smoother.
  • Help design and support AI-powered products that are scalable, user-focused, and aligned with business goals.
  • Develop and run tests to make sure models work as expected and perform reliably.
  • Collect, clean, and prepare data needed to train and fine-tune AI models.

Eligibility:

  • Currently studying Bachelor's Degree in Computer Science or a related field or planning to transition into this field.
  • Strong communication skills, both written and verbal.
  • Solid background in math, especially in probability, statistics, linear algebra, and calculus.
  • Basic understanding of deep learning concepts and generative AI models.
  • Comfortable programming in Python and familiar with libraries such as PyTorch, TensorFlow, and Scikit-learn.
  • Aware of the ethical issues in AI and data science, with a commitment to using technology responsibly and fairly.

Learning Outcomes:

  • Foundational Knowledge of AI/ML
  • Hands-on technical skills (Programming with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch)
  • Data Handling and Analysis
  • Deployment and MLOps (Optional for Advanced Interns)
  • Model Evaluation and Optimization

Benefits:

  • Flexible schedule
  • Skill development
  • Access to global opportunities
  • Develop a strong online portfolio for future career growth.

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