Senior Computer Vision & Multimodal AI Engineer — Remote

Infolabs Global; Dubai; Hybrid; AED 250,000 - 450,000; Full time

Benefits offered by this job

Competitive salary & equity

Flexible work environment

Health, dental, vision insurance

401(k) matching

Learning/conference stipends

Job summary

Infolabs Global in Dubai seeks a Senior Computer Vision & Multimodal AI Engineer to build real-time vision systems and next‑generation vision‑language solutions.

You will design end-to-end pipelines, integrate VLMs like LLaVA, Florence, and Qwen‑VL, and optimize for edge and cloud deployment. The role requires 4+ years of hands‑on CV experience with cameras, OpenCV, C++, Python, and DL tooling.

Qualifications

• 4+ years of hands-on production computer vision experience.
• Experience with PyTorch or TensorFlow and VLMs/multimodal models.
• Strong knowledge of camera pipelines, OpenCV, RTSP, and real-time video.
• Proficiency in C++ and Python; model optimization with TensorRT/ONNX/CUDA.
• Solid foundations in linear algebra, geometry, camera calibration, and tracking.
• Familiarity with edge and cloud deployment for AI models.

Responsibilities

• Design and deploy end-to-end computer vision pipelines for multi-camera inputs in real time.
• Integrate, fine-tune, and deploy state-of-the-art Vision-Language Models for complex visual reasoning.
• Quantize, compile, and optimize models for edge hardware and cloud infrastructure.
• Develop CV components: object detection, tracking, segmentation, and calibration.
• Collaborate with data engineers, hardware specialists, and product teams to translate research into production features.

Skills

Vision pipelines

VLMs multimodal

PyTorch

TensorFlow

OpenCV

Real-time video

C++

Python

CUDA

TensorRT

ONNX

Camera calibration

Edge deployment

Tracking algorithms

Education

Bachelor's degree in CS/EE

Tools

Jetson

CUDA

TensorRT

ONNX

OpenVINO

Job description

Infolabs Global in Dubai seeks a Senior Computer Vision & Multimodal AI Engineer to build real-time vision systems and next‑generation vision‑language solutions.

You will design end-to-end pipelines, integrate VLMs like LLaVA, Florence, and Qwen‑VL, and optimize for edge and cloud deployment. The role requires 4+ years of hands‑on CV experience with cameras, OpenCV, C++, Python, and DL tooling.