Hiring: Entry-Level AI/ML Engineer (Medical Imaging)

Healium Intelliscan Corporation

Transforming Preventive Healthcare with AI

About Healium Intelliscan

Healium Intelliscan Corporation is redefining preventive healthcare through AI-powered Point-of-Care Ultrasound (PoCUS) innovation.

We are building advanced AI systems for early detection of Chronic Kidney Disease (CKD) using intelligent causality prediction and personalized renal blood flow modeling.

Our mission is simple but powerful:

Detect earlier.

Predict smarter.

Prevent avoidable deaths.

If you want your AI models to directly impact lives — this is your opportunity.

Join Our AI/ML Team

We are looking for a passionate Entry-Level Computer Science Engineer who wants to work at the intersection of AI, Deep Learning, and Medical Imaging.

This role is ideal for a recent graduate eager to build real-world healthcare AI systems — not just experiments.

What You’ll Work On

• Develop and implement computer vision algorithms for ultrasound image analysis
• Build, train, and optimise deep learning models
• Work extensively on medical image annotation and dataset curation
• Annotating ultrasound images (bounding boxes, segmentation, keypoints)
• Assisting in organ localisation
• Ensuring high-quality labeled datasets for model training
• Improve model accuracy through validation, error analysis, and optimization
• Collaborate with clinicians, researchers, and product teams
• Participate in the full AI lifecycle — research → prototype → validation → deployment

You will gain hands-on exposure to real clinical data and real regulatory-grade product development.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• Strong Python programming skills (OOP concepts required)
• Basic understanding of medical imaging (DICOM, ultrasound formats)
• Familiarity with deep learning architectures such as:
• ResNet (Residual Networks)
• Inception Networks
• Vision Transformers (ViT)
• Experience with PyTorch, TensorFlow, or similar frameworks
• Strong analytical and problem-solving skills
• High attention to detail (critical for medical data annotation)

Preferred Qualifications

• Experience with medical imaging libraries (SimpleITK, PyDicom)
• Understanding of computer vision techniques and image preprocessing
• Knowledge of model evaluation metrics (AUC, sensitivity, specificity, etc.)
• Experience with Git and collaborative workflows
• Internship/project experience in AI/ML or healthcare AI

Why Join Us?

• Work on FDA-aligned medical AI products
• Direct exposure to real-world healthcare challenges
• Opportunity to grow rapidly in a high-impact startup
• Be part of a mission-driven team focused on saving lives

If you are excited about applying AI to meaningful healthcare problems and working hands-on with medical image data and annotation workflows — we would love to hear from you.

Apply via LinkedIn or send your CV to pavani@healiumintelliscan.com