Engage in AI-based projects, prepare datasets, and develop/test AI models under the guidance of experienced professionals. 🎯 About the Role This internship provides an…
Artificial Intelligence Intern
- Location
- India
- Posted
- Status
- Open
About this role
Dive into the exciting world of AI, working on cutting-edge challenges and building practical applications in a collaborative, remote setting.
🎯 About the Role
This is an open collaboration program for aspiring AI engineers and practitioners to gain hands-on, real-world experience. You'll work on actual artificial intelligence challenges, build your portfolio, and learn by doing alongside our team.
🛠️ Key Responsibilities
- 🤖 Develop & Integrate AI: Build and integrate smart solutions using state-of-the-art APIs or open-source models.
- 🧠 Train & Fine-Tune Models: Assist in processing datasets and fine-tuning machine learning, NLP, or computer vision models.
- ✍️ Prompt Engineering: Design, test, and refine prompts to optimize LLM output and reliability.
- 📈 Evaluate & Optimize: Test AI model performance, troubleshoot edge cases, and ensure accuracy.
✅ Requirements & Skills
- 💡 Passion for artificial intelligence and eagerness to learn.
- 🐍 Solid grasp of Python and standard data manipulation libraries (e.g., Pandas, NumPy).
- ⚙️ Familiarity with foundational AI concepts (ML algorithms, deep learning, NLP).
- ⭐ Bonus: Experience with PyTorch, TensorFlow, LangChain, Hugging Face, or AI projects.
- ❓ Curious, driven, and comfortable asking questions.
🎁 Perks & Benefits
- 🌍 Remote & Flexible: Contribute from anywhere on your schedule.
- 🚀 Real Portfolio Projects: Build functional AI applications and models.
- 🧑🏫 Direct Mentorship: Receive code reviews and guidance from the engineering team.
- 🏆 Proof of Impact: Certificate of completion and letter of recommendation for active contributors.
⏳ Duration: Up to 6 months
📍 Location: Remote
📩 How to Apply
Fill the form and join our WhatsApp community for the joining process.
How to apply
Applications are handled on in.linkedin.com, not here. The link below opens the original posting.
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