Computer Vision Engineer

2 days ago

Bengaluru, Karnataka, India Healium Intelliscan Corporation Full time US$ 90,000 - US$ 1,20,000 per year

Begin an Exciting Journey to the Top of Computer Vision in Medical Imaging

About Us

Healium Intelliscan
 is at the forefront of medical innovation, dedicated to transforming healthcare through advanced 
artificial intelligence, computer vision, and real-time AI solutions for ultrasound imaging
. Our passionate team pushes the boundaries of AI to develop solutions that revolutionize patient care and bring world-class diagnostics to every corner of the globe.

About the Role

We are seeking a 
smart and motivated Computer Vision Intern
 to join our cutting-edge R&D team. You will work alongside experienced professionals on challenging and impactful projects in 
medical image analysis
, focusing on 
ultrasound images and real-time AI models
. This is your chance to design, train, and deploy AI algorithms that directly impact clinical workflows and improve patient outcomes.

Responsibilities

  • Collaborate with our dynamic team to design and develop state-of-the-art 
    computer vision algorithms for ultrasound image and video analysis
    .
  • Evaluate, refine, and optimize existing deep learning models for 
    real-time medical imaging applications
    .
  • Conduct rigorous experiments to validate algorithms in real clinical scenarios.
  • Contribute to 
    real-time AI pipeline development
     for medical imaging devices.
  • Stay up to date with the latest research in computer vision, deep learning, and 
    medical imaging AI
    .

Qualifications

  • Strong 
    Python
     programming skills with clean, efficient coding practices.
  • Solid understanding of deep learning architectures such as 
    MobileNet, EfficientNet, and the YOLO family
    .
  • Hands-on experience with 
    TensorFlow or PyTorch
     for training and deploying models.
  • Proficiency in 
    OpenCV
     and image/video processing libraries.
  • Understanding of 
    image preprocessing and enhancement techniques for ultrasound
     to improve diagnostic accuracy.

Nice to Have

  • Experience with 
    2D-to-3D reconstruction from ultrasound images
    .
  • Knowledge of 
    edge/embedded AI deployment
     for real-time medical imaging.
  • Familiarity with 
    multiple-instance learning, segmentation, or detection models for ultrasound
    .

Internship Type

Paid Internship
 – Work remotely or onsite, with opportunities to contribute to 
FDA-compliant AI solutions
 used in real healthcare settings.

 
If you're passionate about applying AI to save lives and want to work on groundbreaking medical imaging solutions, this is the opportunity for you

Apply now and be part of the future of 
AI-powered healthcare
.

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