AI/ML Intern
🚀 We’re Hiring: AI/ML Intern at Nirwana.AI! 🚀
Enjoy research, love experimenting with ideas, and get excited about solving problems that don’t have obvious answers? You’ll fit right in at Nirwana.AI.
We’re looking for curious minds who want to go beyond tutorials and work on real-world AI challenges.
What You’ll Be Doing:
✅ Researching and experimenting with ML/DL models.
✅ Tackling challenging computer vision problems.
✅ Building, testing, and improving models using Python and frameworks like PyTorch, TensorFlow, or Keras.
✅ Exploring novel approaches and figuring out what works, what doesn’t, and why.
What We’re Looking For:
✅ Strong fundamentals in Python, machine learning, and deep learning.
✅ A good understanding of computer vision, mathematics, and data structures.
✅ A research-oriented mindset and a genuine curiosity about how things work.
✅ Someone who enjoys experimentation, creative problem-solving, and getting their hands dirty with difficult problems.
📍 Location: Noida, Sector 62 (WFO)
💼 Role: Full-Time Internship
📩 Interested? Send your resume to [contact shared on WhatsApp] with the subject line AI/ML Intern Application.
If research is your thing and solving hard problems sounds more exciting than following a tutorial, we’d love to meet you. ☕🚀
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How to apply
Apply for this role. Opens the original post on LinkedIn, which says how to apply.
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Interview advice
Going for this role at Nirwana AI? A few things that help freshers walk in prepared:
- Before you go in, list the top three things this job asks for and prepare one concrete example for each — then tie every answer back to them.
- For a virtual interview, test your internet, camera and mic in advance, sit somewhere quiet and well-lit, and still dress formally — it signals you are serious.
- Prepare two or three thoughtful questions to ask them about the team, the work and growth; "I have no questions" reads as low interest.
- It is fine not to know something — say how you would find the answer. Freshers are hired for how they think, not for knowing everything already.
- Use STAR for "tell me about a time" questions — Situation, Task, Action, Result — so your story stays clear and short.