Description :

Job Title : Senior AI Engineer Medical Imaging

Location : Remote (India)

Experience : 8+ Years

Employment Type : Full-time

Job Description :

We are seeking an experienced Senior AI Engineer with a strong background in medical imaging and healthcare AI.

The role involves building and deploying AI and machine learning solutions for analyzing medical images such as X-rays, dental images, ophthalmology images, CT/MRI scans, and other clinical imaging data.

The ideal candidate has hands-on experience developing deep learning models for disease detection, diagnosis, and medical insights.

This is a full-time, remote opportunity based in India.

Roles and Responsibilities :

- Design, develop, and optimize AI/ML models for medical image analysis

- Work with medical images including X-rays, dental scans, eye images, radiology images, and similar modalities

- Build deep learning pipelines for image classification, object detection, segmentation, and prediction

- Handle data preprocessing, augmentation, and annotation workflows for medical imaging datasets

- Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions

- Monitor model performance and continuously improve accuracy and reliability

- Stay updated with the latest advancements in medical imaging, computer vision, and AI research

Required Skills and Experience :

- 8+ years of experience in AI/ML engineering or applied data science

- Proven experience working on medical imaging or healthcare AI projects

- Strong knowledge of deep learning and computer vision techniques

- Hands-on experience with Python and frameworks such as TensorFlow, PyTorch, or Keras

- Experience in image classification, segmentation, and object detection

- Understanding of healthcare data workflows and medical image formats

- Experience deploying AI models into production environments

Preferred Qualifications :

- Prior experience in healthcare, healthtech, or medical AI products

- Familiarity with compliance, privacy, or regulatory considerations in healthcare

- Experience with cloud platforms and scalable AI systems

- Exposure to clinical decision support or disease diagnosis use cases