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MedTech: Our client is a leading firm in Medical devices. logo
Staff Engineer - Computer Vision and Machine Learning
MedTech: Our client is a leading firm in Medical devices.
Staff Engineer - Computer Vision and Machine Learning
MedTech: Our client is a leading firm in Medical devices.'s logo

Staff Engineer - Computer Vision and Machine Learning

at MedTech: Our client is a leading firm in Medical devices.

Agency job
7 - 12 yrs
₹30L - ₹50L / yr
Gurugram
Skills
skill iconC++
Image Processing
skill iconMachine Learning (ML)
skill iconDeep Learning
Neural networks
Medical devices

🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀

📍 Location: Gurugram

💼 Experience: 7-10 Years


About the Role

We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!


Mandatory Technical Skills:

Programming Languages: Proficiency in C++, Python, and C#.

Computer Vision Expertise: Experience with OpenCV for tasks such as:

  • Image Segmentation
  • Object Detection
  • Pattern Recognition
  • 3D Reconstruction
  • ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
  • Image Processing: Strong understanding of:
  • Color-space transformations
  • Histogram/Contrast enhancement
  • Morphology and frequency domain filtering
  • Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
  • Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.


Additional Preferred Skills:

🔹 Advanced C++ (STL, multithreading, design patterns).

🔹 Python libraries: Numpy, Pandas, Scikit-learn.

🔹 Knowledge of tools like VTK, ITK, or MITK.

🔹 Understanding of healthcare regulations (e.g., FDA, CE).


Why This Role?

You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.


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Shubham Vishwakarma

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