Gain hands-on experience working with real business data and contribute to impactful projects in this unique open collaboration program. 🎯 About the Role This isn't a…
Artificial Intelligence Intern
- Location
- India
- Posted
- Status
- Open
About this role
Work on actual artificial intelligence challenges, build your portfolio, and learn by doing alongside an experienced engineering team in a collaborative remote program.
🎯 About the Role
This open collaboration program is designed for aspiring AI engineers to gain hands-on, real-world experience. Contribute from anywhere with flexible scheduling and receive direct mentorship on cutting-edge AI projects.
🛠️ Key Responsibilities
- 🤖 Develop & Integrate AI: Build and integrate AI solutions using state-of-the-art APIs or models
- 🧠 Train & Fine-Tune Models: Assist in processing datasets and fine-tuning ML, NLP, or CV models
- 💡 Prompt Engineering: Design, test, and refine prompts for Large Language Models (LLMs)
- 📊 Evaluate & Optimize: Test AI model performance, troubleshoot, and analyze outputs
✅ Requirements & Skills
- 💻 Passionate about artificial intelligence and eager 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 frameworks like PyTorch/TensorFlow, tools like LangChain/Hugging Face, or AI projects/chatbots
- 🤔 Curious, driven, and comfortable asking questions
🎁 Perks & Benefits
- 🌍 Remote & Flexible: Contribute from anywhere on your schedule
- 📂 Real Portfolio Projects: Build functional AI applications and intelligent agents
- 🧑🏫 Direct Mentorship: Receive honest code reviews and architectural feedback
- 🏅 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. Application Deadline: 22nd July.
How to apply
Applications are handled on in.linkedin.com, not here. The link below opens the original posting.
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