Computer Vision Engineer

Job Description Roles & Responsibilities 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. Desired Candidate Profile 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. Location & work authorization Abu Dhabi - onsite at our headquarters. Open to candidates already in the UAE with valid work authorization, or to candidates willing to relocate; the company sponsors residency for international hires. Hybrid available after probation by manager agreement. Employment Type Full Time Company Industry DefenceMilitaryGovernment Department / Functional Area Software DevelopmentApplication Development (IT Software) Keywords Object DetectionComputer Vision ScientistAI Engineer VisionAI Vision EngineerImage ClassificationVision Architect Get real-time job updates only on our App