Artificial Intelligence

We’re seeking an AI Intern who is skilled in building intuitive Virtual Voice Agents and developing AI-powered medical imaging models that can diagnose ailments like Breast Cancer, Bone Fractures, Spinal disorders, Retinal issues, Skin diseases, and Chest conditions. You’ll contribute to cutting-edge healthtech AI solutions blending conversational intelligence with diagnostic accuracy.

Key Responsibilities:

• Design and train Virtual Voice Agents with natural, human-like conversations using STT, TTS & LLMs.
• Build & optimize medical imaging models (X-ray, MRI, Ultrasound, Retina, Dermoscopy) for early diagnosis and decision support.
• Implement deep learning pipelines (CNNs, Transformers, MONAI, nnU-Net, CheXNet, etc.) for medical datasets.
• Integrate voice-based diagnostic assistants that connect patients and providers with AI insights.
• Collaborate with product, mobile, and backend teams for real-world deployment.

Requirements:

• Strong skills in Python, PyTorch/TensorFlow, OpenCV.
• Hands-on with medical imaging AI frameworks (MONAI, nnU-Net, VUNO, CheXNet, etc.).
• Knowledge of NLP/LLMs (LangChain, RAG, Whisper, Coqui, or equivalent).
• Understanding of clinical workflows & diagnostic accuracy challenges.
• Bonus: Prior experience in voice AI or healthcare AI deployments.

Perks:

• Work on real-world healthtech AI applications with high impact.
• Exposure to AI model deployment in clinical & enterprise settings.
• Remote-first Environment.

Pre-requisites:(Who can apply)

• Up for 6 Months followed by 30-35 hrs a week regardless of working hrs in a day.
• Have their own device as we do have BYOD policy.
• Only Immediate joiners ought to apply.