Stupa Sports Analytics - Computer Vision Engineer - Deep Learning (3-7 yrs)

About the Role :

We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction.

The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques.

Key Responsibilities :

- Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis Design and optimize camera calibration procedures for various imaging systems.

- Create robust stereo vision solutions for depth estimation and object localization.

- Implement multi-view geometry techniques for scene understanding and 3D modeling.

- Develop efficient triangulation methods for 3D point cloud generation.

- Collaborate with cross-functional teams to integrate computer vision solutions into larger systems.

- Stay current with the latest advancements in computer vision and contribute to research initiatives.

Required Qualifications :

- Bachelors in Computer Science, Computer Engineering, or a related field.

- 3+ years of experience in computer vision, with a focus on 3D vision techniques.

- Strong proficiency in camera calibration methods and tools.

- Extensive experience with stereo vision algorithms and epipolar geometry.

- In-depth knowledge of multi-view geometry and structure-from-motion techniques.

- Proven track record in developing 3D reconstruction pipelines.

- Expert-level programming skills in C++ and Python.

- Experience with OpenCV, PCL, or similar computer vision libraries.

- Familiarity with deep learning frameworks (e.g. , TensorFlow, PyTorch) for vision task.