AI Medical Imaging Specialist
Budget: ₹12,500 – ₹37,500 INR
AI Engineer (Medical Imaging)
Location: Remote
Type: Full‑Time / Contract
We are developing an AI‑powered medical imaging platform for hospitals to upload scans and get rapid diagnostic insights. We’re a small, fast‑moving team looking for someone who can own our core AI pipelines without exposing all our internal details.
What You’ll Do
Customize and fine‑tune pre‑trained computer‑vision models on public and private medical image datasets.
Build and deploy inference endpoints (REST APIs) for our front end to consume.
Monitor model performance and retrain as needed to maintain accuracy.
Collaborate with front‑end and DevOps teammates to integrate AI smoothly into our no‑code dashboard.
Ensure data privacy and compliance with healthcare regulations.
Must‑Have
3+ years of hands‑on deep‑learning experience (PyTorch or TensorFlow).
Experience with medical‑image formats (DICOM/NIfTI) and preprocessing.
Familiarity deploying models as REST services (Docker, cloud functions).
Strong Python skills and version‑control best practices.
Nice‑to‑Have
Prior work with no‑code/low‑code integrations (Bubble.io, Zapier/Make).
Exposure to NLP for report generation.
Understanding of healthcare compliance (HIPAA, NDHM).
Location: Remote
Type: Full‑Time / Contract
We are developing an AI‑powered medical imaging platform for hospitals to upload scans and get rapid diagnostic insights. We’re a small, fast‑moving team looking for someone who can own our core AI pipelines without exposing all our internal details.
What You’ll Do
Customize and fine‑tune pre‑trained computer‑vision models on public and private medical image datasets.
Build and deploy inference endpoints (REST APIs) for our front end to consume.
Monitor model performance and retrain as needed to maintain accuracy.
Collaborate with front‑end and DevOps teammates to integrate AI smoothly into our no‑code dashboard.
Ensure data privacy and compliance with healthcare regulations.
Must‑Have
3+ years of hands‑on deep‑learning experience (PyTorch or TensorFlow).
Experience with medical‑image formats (DICOM/NIfTI) and preprocessing.
Familiarity deploying models as REST services (Docker, cloud functions).
Strong Python skills and version‑control best practices.
Nice‑to‑Have
Prior work with no‑code/low‑code integrations (Bubble.io, Zapier/Make).
Exposure to NLP for report generation.
Understanding of healthcare compliance (HIPAA, NDHM).