Senior AI/ML Engineer (Computer Vision & Vision-LLMs)

infolabs global United Arab Emirates
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AI Summary

Lead the Vision Lab, upgrading 10+ AI products for a global market. Work on high-impact projects in one of the world's fastest-growing AI hubs (UAE). Rapid trajectory to Head of AI / Vision Lead.

Key Highlights
Real-time Camera Vision Systems
Vision-LLMs (VLM) integration
Model Training & Ops
Key Responsibilities
Mastery of YOLO (v8-v11), StrongSORT/DeepSORT, and MediaPipe for real-time behavior analysis.
Hands-on experience integrating Vision-Language Models for scene description and visual reasoning.
Proven ability to fine-tune models (PyTorch) and optimize them using TensorRT or ONNX for high-FPS performance on NVIDIA hardware.
Technical Skills Required
Python PyTorch OpenCV YOLO CUDA TensorRT FastAPI Docker Vision-LLMs (LLaVA/Qwen-VL)
Benefits & Perks
Full Visa Sponsorship Provided
Regional Impact: Work on high-impact projects in one of the world's fastest-growing AI hubs (UAE)
Leadership Path: Rapid trajectory to Head of AI / Vision Lead

Job Description


Senior AI Engineer (Computer Vision & Vision-LLMs)

📍 Location: Dubai / Abu Dhabi, UAE (On-site )

📄 Visa: Full Visa Sponsorship Provided

🚀 Experience: 5+ Years (Strictly Mandatory)

🚨 STOP: This is NOT an Entry-level Role.

We are looking for a Senior AI/ML Engineer who has specifically built, trained, and deployed Real-time Camera Vision Systems. If your experience is limited to basic OpenCV and you haven't worked with Vision-LLMs (VLMs), Multi-object Tracking (MOT), and Model Quantization for edge deployment, please do not apply.

What You Must Bring
  • 5+ Years of Production Experience: Deep expertise in Python-based AI/ML with a heavy focus on Computer Vision.
  • Camera Vision & Tracking: Mastery of YOLO (v8-v11), StrongSORT/DeepSORT, and MediaPipe for real-time behavior analysis.
  • Vision-LLMs (VLM): Hands-on experience integrating Vision-Language Models for scene description and visual reasoning.
  • Model Training & Ops: Proven ability to fine-tune models (PyTorch) and optimize them using TensorRT or ONNX for high-FPS performance on NVIDIA hardware.
  • Infrastructure: Experience with GStreamer, FFmpeg, and handling RTSP camera streams at scale across distributed networks.
The Tech Stack

Python | PyTorch | OpenCV | YOLO | CUDA | TensorRT | FastAPI | Docker | Vision-LLMs (LLaVA/Qwen-VL)

Why InfoLabs Global?
  • Lead the Vision Lab: Direct ownership of upgrading 10+ AI products for a global market.
  • Regional Impact: Work on high-impact projects in one of the world's fastest-growing AI hubs (UAE).
  • Leadership Path: Rapid trajectory to Head of AI / Vision Lead.
How to Apply:

📩 Send your CV and a link to a video demo or GitHub repository of your Vision/Camera projects to: durgesh@infolabsglobal.ai

  • #DubaiJobs #AbuDhabiTech #AI #ComputerVision #VisionLLM #UAEAI #YOLO #PyTorch #SmartCity #DeepLearning #HiringUAE

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