Generative AI Internship

About the Work From Home Job/Internship:

• Selected intern's day-to-day responsibilities include:
  • Setting up Linux/Windows environments (Conda, CUDA 12.1)
  • Installing and managing dependencies for large-scale models
  • Preparing and organizing model weights (HuggingFace, ModelScope)
  • Running diffusion-based models such as Wan 2.1, Wan 2.2, LLM models
  • Configuring GPU environments (A100/4090/V100)

Who Can Apply:

• Only those candidates can apply who:
  • Are available for the work from home job/internship
  • Are available for a duration of 6 months
  • Have relevant skills and interests

Other Requirements:

• Preferred: Students in 1st to 3rd year of graduation with a strong interest in AI/ML
• Ability to build APIs (FastAPI/Flask) for AI inference pipelines and serve models efficiently
• Experience integrating front-end interfaces with backend AI services
• Familiarity with cloud platforms (AWS preferred) for deployment, storage, and scaling
• A strong project portfolio (1–2 projects) showcasing end-to-end Generative AI or LLM pipelines
• Bonus: Exposure to audio/voice models, CUDA optimization, or GPU-based inference workflows

Perks:

• Completion Certificate
• Letter of Recommendation
• Flexible Work Hours
• Unpaid with Incentives

Additional Information:

• If you get shortlisted, then you have to complete a project assessment and showcase a demo within a week to get selected
• Only apply if you have the relevant skills and availability