Machine Learning Engineer

Machine Learning Engineer (2D→3D Reconstruction & Workflow Intelligence)

OpEase Technologies builds a high-precision, web-based surgical planning platform for orthopedic and spine surgeons. Doctors use OpEase to securely store patient data, upload X-rays, calibrate, measure, and plan surgeries through advanced geometry tools and clinical logic.

Role Overview :

We’re hiring an ML Engineer who will own the core AI systems powering OpEase — specifically :

• Reconstructing 3D anatomical structures from orthogonal 2D X-rays , and
• Building intelligent auto-selection and auto-suggestion logic for measurement and planning tools inside our surgical workflow.

This is not a research-only role. You will be responsible for designing, training, validating, and deploying production-grade ML systems that directly impact surgical decision-making. Clear problem statements and datasets will be provided; you are expected to execute with speed and rigor.

What You Will Build (Very Specific) :

Responsibilities :

Requirements (High Priority & Non-Negotiable) :

Bonus (Big Plus) :

Why Join :

Hybrid role with periodic clinical onsite work.

Compensation : ₹18–24 LPA + ESOPs.