AI Computer Vision Engineer (Senior) — ANPR & Vehicle Recognition

About Safe City Group

What You'Ll Do

• Set the technical bar across our vehicle-detection and license-plate-recognition stack. Govern model architecture choices, dataset strategy, evaluation pipelines, and deployment patterns.
• Design, train, optimise, and deploy CV models for vehicle detection, classification (type, colour, brand, model), and GCC license-plate recognition.
• Convert and optimise models (YOLO family and others) for inference on Intel CPUs using OpenVINO; profile and reduce latency on edge hardware until you hit the SLA you own.
• Drive performance work on inference latency, model footprint, and CPU resource use for fleet-scale deployment.
• Govern the labelling guideline with the AI labelling operator: prioritise edge cases, audit dataset quality, sign off on dataset releases.
• Partner with the full-stack and web teams to expose model outputs through stable APIs that survive model updates.
• Mentor the AI labelling operator and any junior engineers who join later. Review code and model evaluations.
• Stay current on practical CV research; bring back what's worth integrating, reject what isn't.
• What you'll bring
• 5+ years of production computer-vision work, including at least one role with senior or technical-lead responsibility.
• Deep C++ (C++17 or newer) and Python. Comfortable in both Linux and Windows build environments.
• Strong OpenVINO experience or equivalent (TensorRT, ONNX Runtime). You have personally optimised a model below an SLA you owned.
• ANPR / OCR / vehicle-recognition or comparable safety-critical CV background — ideally on edge hardware.
• Demonstrated ability to design model evaluation pipelines and ship measurable improvements over baselines.
• Linux command-line fluency.
• English fluency — written and spoken.
• Nice to have
• Direct GCC license-plate experience.
• Experience working with classified or restricted-access datasets and the operational disciplines that go with them.
• Experience leading 1–3 person AI teams.
• C++ inference on Intel platforms (OpenVINO model optimisation, INT8 quantisation, multi-threaded inference).
• Windows desktop application packaging.
• Experience with M1 / Apple Silicon for future portability.
• Arabic — reading useful for GCC plate work.
• Pay: From AED8,000.00 per month

Application Question(S)

• Are you willing to work in the UAE time zone from 9 AM to 5 PM?
• Rate your C++ proficiency on a 1–5 scale, where 5 means you have shipped C++17+ to production and reviewed others' C++ code.
• Have you converted and deployed a YOLO-family model to edge hardware?
• What is your expected monthly base salary in AED? (Number)
• Do you currently live in, or are willing to relocate, to Abu Dhabi?

Experience

• computer-vision work: 5 years (Required)

Language

• Arabic (Preferred)