Computer Vision Innovator

1 week ago


Bengaluru, Karnataka, India OpenCV University Full time

About OpenCV University

We are a premier AI education institution dedicated to creating in-depth and meticulously designed courses on Computer Vision and Deep Learning. Our mission is to empower learners across the globe to be part of a collective AI workforce.

Job Description

We are hiring Computer Vision Engineer professionals with a passion for research and teaching in the field of Computer Vision, Image Processing, and Deep Learning. As a key member of our team, you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship.

  1. Conduct research on the latest trends and developments in computer vision technology and techniques.

  2. Write high-quality, SEO-compliant blog articles on the latest topics in computer vision.

  3. Work on interesting CV and DL experiments, projects, and applications that become part of our course or deploy applications for demos of blog articles.

  4. Create supporting multimedia content, such as images, videos, and GIFs.

  5. Design assessment materials for our courses, including assignments, projects, and quizzes.

  6. Mentor course students through doubt-clearing sessions and career guidance via meetups and forums.

  7. Work on course updates, including checking version changes and corner cases.

Required Skills and Qualifications

To succeed in this role, you should have:

  • Strong OpenCV C++ programming knowledge (Python knowledge is a plus).

  • Experience working with computer vision libraries like OpenCV.

  • Strong knowledge of deep learning-based computer vision algorithms, classification, segmentation, object detection, key-points detection, and more.

  • Familiarity with other tools like YOLO, Mediapipe, Android, iOS, FastAPI, Docker, and Kubernetes is a bonus.

  • Excellent English speaking and writing skills.

  • Candidates with blog posts on computer vision or OpenCV AI course certification are preferred.



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