Invigilo AI is a Singapore-based technology company specializing in AI-driven video analytics for workplace safety and operational efficiency. Our mission is to help organizations in high-risk industries — such as construction, oil & gas, and manufacturing — create safer and smarter environments through intelligent monitoring solutions
About the Role
We are looking for an AI Research Engineer (Computer Vision) to research, prototype, and validate high-accuracy computer vision solutions on live CCTV footage.
This role sits at the intersection of research, experimentation, and real-world deployment. You will focus on building working prototypes in Jupyter notebooks, validating them on production-like data, and transferring knowledge to MLOps and Engineering teams for scaling and deployment.
This is a fast-paced startup environment with a strong emphasis on deliverables and outcomes, not fixed working hours.
Key Responsibilities
Research & Prototyping
- Research and prototype computer vision models and algorithms for real-world CCTV use cases
- Build and iterate on Jupyter notebook prototypes using real video streams and datasets
- Optimize models for high precision and recall under challenging conditions (occlusion, lighting, camera angles, motion blur, etc.)
- Experiment with detection, tracking, re-identification, temporal reasoning, and multi-camera setups
Validation & Metrics
- Design and run evaluation pipelines for model accuracy, precision, recall, and latency
- Analyze failure cases and propose systematic improvements
- Perform ablation studies and controlled experiments
Knowledge Transfer & Collaboration
- Conduct knowledge transfer (KT) sessions with:
- MLOps team to improve training pipelines, model performance, and inference efficiency
- Engineering team to translate research prototypes into deployable production systems
- Document research findings, assumptions, and trade-offs clearly
Deployment Awareness
- Collaborate with engineers to ensure research prototypes are deployable in production environments
- Consider real-world constraints such as compute limits, latency, GPU usage, and scalability
Required Qualifications
- Strong foundation in computer vision (object detection, tracking, segmentation, video analytics)
- Proficiency in Python
- Experience working with Jupyter notebooks for research and prototyping
- Solid understanding of precision, recall, F1, ROC, and evaluation metrics
- Ability to reason about real-world data noise and edge cases
- Comfortable working with unstructured video data
Good to Have (Nice-to-Haves)
- Previous industry or research experience in computer vision
- Experience with NVIDIA DeepStream pipelines
- Familiarity with GPU inference optimization (TensorRT, CUDA concepts)
- Experience working with live CCTV or surveillance footage
- Exposure to MLOps workflows and model deployment pipelines
Work Environment & Culture
- Startup environment with high ownership and autonomy
- Deliverable-based working hours (not a strict 9–6)
- Fast iteration cycles and real-world impact
- Close collaboration with engineering and MLOps teams
- Opportunity to see research deployed into production quickly
Why Join Us
- Work on real production computer vision problems, not toy datasets
- See your research go live and create immediate impact
- High ownership, minimal bureaucracy
- Competitive pay with strong learning and growth opportunities
Related Job Searches:
- Company:
Invigilo Technologies Pte. Ltd. - Designation:
AI Research Engineer (Computer Vision) - Profession:
IT / Information Technology - Industry:
Artificial Intelligence / Smart Automation - Location:
Queenstown