Work Flexibility: Hybrid

What you will do:

Develop 3D Maths and 3D programming concepts, advance computer vision and medical image processing solutions.

Work on design and implementation of ML/DL solutions for image segmentation, pattern recognition, object identification.

Write high-quality, scalable and maintainable code in C#, C++ and Python for state-of-the-art products.

Work closely with cross-functional teams including data scientists, radiologists, hardware engineers, and other stakeholders to integrate advance features into clinical workflows and products.

Create and maintain detailed and clear technical documentation of the developed software components and algorithms, ensuring regulatory compliance and reproducibility.

What You Need:

Minimum Qualifications (Required):

BTech/MTech in Computer Science or related field with focus on Image Processing, Computer Vision, ML/DL. 8-11 years of experience in developing high quality codes using C++, C# and Python. Candidates with experience in api/library development will be preferred.

3D Math (Vectors, Matrices, Rotations, Transformations, Triangle Meshes, Trigonometry, Geometry, etc). 3D programming concepts (hierarchical transformations, scene graph, 3d mesh connectivity, tesselation, etc).

At least 5 years of experience developing Computer Vision and ML/DL solutions in image segmentation, object detection, pattern recognition etc.

Preferred skill-set (Strongly desired):

Solid coding skill in C++. Experience in OOP, STL, template programming, multithreading, basic design patterns is preferred. Candidate should have excellent debugging and optimization skill.

Excellent understanding of data structures and algorithms.

In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn, Pillow and Tensor Flow/Py Torch. Candidate should have excellent proficiency in OpenCV.

In-depth understanding of color-space, histogram, contrast enhancement, spatial and frequency domain filtering, Morphology, connected components analysis, image segmentation, object detection, camera calibration, pattern finding, feature detectors, geometry analysis, multiple view geometry, 3D reconstruction algorithms.

Excellent understanding of ML algorithms like SVM, Random Forest, regression analysis, Cluster analysis, PCA.Experience with DL models like VGG, YOLO, U-Net, Res Net etc.

Knowledge of medical imaging modalities such as CT, MRI, or ultrasound and familiarity with medical data handling.

Understanding of medical device regulatory requirements and standards (e.g., FDA, CE marking). Strong problem-solving skills and ability to work in collaborative, cross-functional teams.

Basic understanding of C# will be an added advantage. Basic understanding of OpenGL and WebGL will be an added advantage.

Some prior experience with Unity, OpenGL, DirectX will be an added advantage. Experience with VTK, ITK and MITK will be an added advantage.

Travel Percentage: None