Scavenger Tech

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.

Location & work authorization

Prefer candidates willing to relocate; the company sponsors residency for international hires.  Alternative is remote with occasional travel to UAE.

The role

We’re taking over core development of a large, real-time public safety / mobility platform. It’s a hybrid system: you’ll work in a mix of legacy and modern code while we move the center of gravity toward .NET 8 and a clean CI/CD delivery model.

We’re also transitioning to a CIS-based team, and the truth is: the documentation isn’t perfect everywhere. You don’t need everything spelled out if you know how to read a system, ask smart questions, and improve things as you go.

If you like big systems, real production constraints, and modernization work that actually matters—this will feel interesting.

What you’ll do

• Build backend services in C# / .NET 8 (LTS).
  
   
• Maintain/refactor legacy areas (ASP.NET 4.8 / WCF) safely as we modernize.
  
   
• Build front-end features in React and/or Angular (TypeScript) for operational dashboards.
  
   
• Write and optimize queries across SQL Server and MySQL.
  
   
• Work in a strict SDLC:
  
   
  • PR-based workflow
    
     
  • branch protection (no pushing to main)
    
     
  • peer reviews
    
     
  • mandatory SAST scans before release
    
     
• Help move releases from “manual steps” toward CI/CD with logging, traceability, and rollback.
  
   
• Integrate with adjacent services (some Python) and mobile clients.
  
   

What we’re looking for

• 5+ years in production software engineering (enterprise or high-availability systems).
  
   
• Strong C# / .NET skills; comfortable touching ASP.NET 4.8 while writing most new work in .NET 8.
  
   
• Solid experience with React and/or Angular.
  
   
• Strong relational DB fundamentals (SQL Server, MySQL).
  
   
• You can handle imperfect docs and still deliver: you investigate, validate, and improve the system.
  
   

Nice to have

• Python integration work, mobile-facing APIs, or experience with real-time dashboards.
  
   
• Observability/performance tuning experience.
  
   
• Prior modernization experience (monolith → services, legacy cleanup, etc.).
  
   

A quick honesty section

• You’ll see messy parts. We’re not hiding that.
  
   
• You’ll also be part of the team that fixes them—steadily and safely.
  
   

Apply with: 2–3 bullets on systems you’ve worked on (scale, tech stack, what you shipped).