Ai Engineer

2 weeks ago


Singapore Invigilo Technologies Full time

Company

Invigilo Technologies
- invigilo.sg

Designation

AI Engineer (Computer Vision)

Date Listed

29 Jul 2025

Job Type

Entry Level / Junior Executive
- Full/PermIntern/TS

Job Period

Immediate Start, For At Least 6 Months

Profession

IT / Information Technology

Industry

Computer and IT

Location Name

Singapore

Allowance / Remuneration

$1,400 - 1,700 monthly

Company Profile

Invigilo is Singapore’s leading AI video analytics solution provider for workplace safety. The AI solutions can be implemented across different industry verticals such as construction sites, shipyards, manufacturing plants and more.

**Job Description**:
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

Application Instructions


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