Artificial Intelligence Intern

Nexal IITIndia

Location
India
Posted
Status
Open

About this role

This open collaboration program offers aspiring AI engineers and practitioners a unique opportunity to gain hands-on, real-world experience. You will work on actual artificial intelligence challenges and build your portfolio alongside a core engineering team.

🎯 About the Role

You will help build and integrate smart solutions using state-of-the-art APIs or open-source models into real applications. The role involves processing datasets, fine-tuning models, and designing prompts to optimize LLM outputs.

πŸ› οΈ Key Responsibilities

  • πŸ› οΈ Develop & Integrate AI: build and integrate smart solutions using APIs or open-source models.
  • πŸ› οΈ Train & Fine-Tune Models: assist in processing datasets and fine-tuning ML/NLP/CV models.
  • πŸ› οΈ Prompt Engineering: design, test, and refine prompts to optimize LLM output.
  • πŸ› οΈ Evaluate & Optimize: test AI model performance, troubleshoot edge cases, and analyze outputs.

βœ… Requirements & Skills

  • βœ… Passionate about artificial intelligence and eager to learn.
  • βœ… Solid grasp of Python and standard data manipulation libraries (Pandas, NumPy).
  • βœ… Familiar with foundational AI concepts, including ML algorithms, deep learning basics, or NLP.
  • βœ… Hands-on experience with frameworks (PyTorch, TensorFlow) or tools (LangChain, Hugging Face) is a bonus.
  • βœ… Curious, driven, and comfortable asking questions.

🎁 Perks & Benefits

  • 🎁 Remote and flexible contribution schedule.
  • 🎁 Real portfolio projects (functional AI applications, custom-tuned models, intelligent agents).
  • 🎁 Direct mentorship with honest code reviews, architectural feedback, and guidance.
  • 🎁 Certificate of completion and strong letter of recommendation for active contributors.

⏳ Duration: Up to 6 months

πŸ“ Location: Remote

πŸ“© How to Apply

Fill the form and join their WhatsApp community for the joining process. Apply before July 14th.

How to apply

Applications are handled on in.linkedin.com, not here. The link below opens the original posting.

Apply on the original posting

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