Course Mentor (AI / Computer Vision / Deep Learning)

OpenCV University is looking for Developers obsessed with Research, Experimentation, Teaching, and Knowledge Sharing in the field of Computer Vision, Image Processing, and Deep Learning.

Company Description

OpenCV University is a premier AI education institution offering in-depth and meticulously designed courses on Computer Vision and Deep Learning. We are creating the world's best resources for learning Artificial Intelligence and Computer Vision. Our courses and blogs are used by thousands of users daily. Check out :

Courses : https : / / opencv.org / university

Blog : http : / / learnopencv.com /

YouTube : https : / / www.youtube.com / c / LearnOpenCV / videos

Our Journey

We have come a long way from creating a Computer Vision Course in 2017, when Online Learning was just starting, to a full-fledged Ed-tech offering AI Courses.

We take pride in saying we are a Bootstrapped, profitable platform powered by Big Vision Consulting. Check out our journey on the About Us page : https : / / opencv.org / university / about-opencv-university /

Mission :

Our Mission is to make OpenCV the No.1 destination for anything related to Computer Vision, for students to learn, for working professionals to upskill, and for Companies to hire talent.

Vision :

OpenCV University's vision is to empower learners across the globe to be a part of a collective AI workforce through our comprehensive courses and an expert team of world-class instructors.

Responsibilities :

This is your opportunity to truly shape one of the most influential disciplines of our time - Artificial Intelligence. 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.

Your role will be multifold meaning you will be exposed to a wide variety of work ranging from research to development to deployment to teaching and mentorship. Your responsibilities include :

Research the latest trends and developments in computer vision technology and techniques and write SEO-compliant blog articles on the latest topics while maintaining the highest quality standards. (For example, currently, we are working on Generative AI and Transformers).

Work on interesting CV and DL experiments, projects, and applications that become part of the course or deploy applications for demos of blog articles. This also includes creating supporting multimedia content, such as images, videos, and GIFs.

Designing assessment materials for the courses, such as assignments, projects, and quizzes.

Mentoring course students in the form of doubt-clearing sessions and career guidance via meetups and forums.

Working on course updates in the form of checking version changes, corner cases, etc.

Skills required :

Strong Python programming knowledge (C++ knowledge is a bonus).

Experience working with computer vision libraries like OpenCV. (TensorFlow, and PyTorch knowledge is a bonus).

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

Knowledge about LLMs, RAGs, VLMs is a plus.

Knowledge of 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 will be preferred.

Candidates with OpenCV AI course certification will be preferred.

Strong communication and collaboration skills.