Gen AI Internship

Ai Disha Learning

Hyderabad, Telangana, IndiaFresher6h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
LLMsTroubleshootingPythonMachine learningPyTorchTensorFlow
Nice to have
REST APIsAWSAzureGCP
Work
On-site in Hyderabad · internship
Pay
Not stated by the employer.
Skill demand
LLMs85%Python58%Machine learning41%Troubleshooting7%of 99 similar fresher jobs posted in India this week
Listed
30 Oct 2026 · still open

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About the Role

The Gen AI Internship is a full-time, on-site role based in Hyderabad. Interns will support the design, development, and evaluation of generative AI solutions.

Key Responsibilities

  • Experimenting with large language models, prompt engineering, and model fine-tuning under guidance from senior team members.
  • Data preparation.
  • Running experiments.
  • Documenting findings.
  • Assisting in integrating AI features into learning platforms and content.
  • Collaborating with mentors and peers to troubleshoot issues and improve performance.
  • Creating clear technical and non-technical documentation.
  • Staying current with recent developments in generative AI.
  • Sharing insights with the team to help shape learning materials and internal best practices.

Requirements & Tech Stack

  • Practical experience or coursework using Python and common AI/ML libraries (such as PyTorch, TensorFlow, or similar frameworks).
  • Ability to work with datasets, perform basic data cleaning and analysis, and interpret experimental results.
  • Curiosity to explore new AI tools and techniques.
  • Exposure to cloud platforms (such as AWS, GCP, or Azure) and API-based integration of AI models is a plus.

Qualifications

  • Foundational knowledge of machine learning concepts, neural networks, and natural language processing, with a strong interest in generative AI.
  • Strong analytical thinking, problem-solving skills, and attention to detail in testing, evaluation, and documentation.
  • Clear written and verbal communication skills.
  • Ability to collaborate effectively in a team setting and ask clarifying questions.
  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent practical experience).
  • Willingness to learn from feedback.
  • Openness to a structured mentorship environment.

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