Job/ Internship Description

As a Computer Vision Engineer at Invigilo, you will be using real-world video data to develop state of the art construction activity monitoring solutions, that will eventually be deployed in production environments on the cloud. This role requires a highly versatile skill set and you will have opportunities to contribute in all relevant domains. Your responsibilities will include development and enhancing of new and existing technologies in a fast-growing deep-tech startup.

You will get to:

• Designing and deploying computer vision models for object detection

• Broad knowledge in various computer vision related topics such as deep learning, object recognition (detection, classification, segmentation) and tracking

• Developing and optimizing video pipelines using GStreamer, OpenCV, FFmpeg, and NVIDIA DeepStream SDK

• Using Bash scripting to automate deployment, testing, and infrastructure setups

• Collaborating closely with DevOps, DataOps, other relevant stakeholders

What we look out for:

• Hands-on experience with computer vision libraries and models (YOLO, Faster R-CNN, DeepStream)

• Excellent C/C++ programming skills

• Strong coding skills in Python and C++; experience with Bash scripting

• Solid understanding of video processing frameworks (GStreamer, OpenCV, FFmpeg)

• Ability to work on multi-camera environments, object tracking, and event detection

• A strong grasp of edge computing and performance tuning for real-time applications