Data Scientist – Medical AI (Computer Vision & Physiological Signals)

About the role

Caare Healthtech Services is building clinical-grade AI screening modules: contactless cardiovascular monitoring from video (rPPG), oral cavity image analysis, and dermatological lesion classification. You'll own models end to end, from data and training through evaluation and deployment-ready inference APIs, in a small team with hard milestone deadlines. Beyond these modules, you'll also contribute to new AI projects as Caare's product portfolio grows.

What you'll do

- Train, fine-tune, and benchmark deep learning models for image classification, detection, and segmentation (oral lesions, skin lesions) and for video-based signal extraction (HR, HRV, SpO₂, BP estimation, stress indices)
- Build preprocessing pipelines covering image quality gating, ROI detection, motion artifact and lighting correction, and signal denoising
- Design rigorous evaluation: sensitivity/specificity, calibration, confidence scoring, and subgroup performance across skin tones, age, and demographics, with honest reporting of limitations
- Survey and reproduce recent research, and decide what's viable for production versus what's still a research claim
- Package models as low-latency inference services (cloud and edge) with standardised outputs, audit logging, and secure APIs
- Write technical documentation covering architecture, training methodology, validation results, and integration




- Support clinical validation activities with technical evidence and fast iteration on feedback

Must have

- 2 years in applied ML/data science, with models you personally trained and deployed
- Strong PyTorch skills, with hands-on work in CNNs/ViTs, transfer learning, fine-tuning foundation models, and data augmentation for small or imbalanced datasets
- Solid evaluation discipline: proper train/val/test splits, leakage prevention, statistical testing, calibration, and error analysis
- Experience with medical imaging, biosignals, or other high-stakes domains
- Ability to read papers critically and translate them into working code
- Deployment experience with ONNX/TensorRT or similar, FastAPI, Docker, and at least one cloud platform

Strong plus

- rPPG, PPG, or physiological signal processing (filtering, spectral methods, HRV analysis)
- Experience with dermatology or oral pathology datasets (ISIC, HAM10000, or similar)
- Fairness evaluation across skin types (Fitzpatrick scale)
- Familiarity with GDPR, medical device software standards (IEC 62304, EU MDR), or clinical validation protocols
- Publications or open-source work in medical AI
- Edge/mobile model optimisation (quantisation, pruning)

What we offer

- Ownership of core models in a company that retains its technology
- Competitive compensation
- Adaptable/remote working

To apply

Send your CV to [email protected] and one example of a model you trained and evaluated, covering what metrics you used and what failure modes you found.

📌 Data Scientist – Medical AI (Visakhapatnam)
🏢 Caare
📍 Visakhapatnam