Vision AI Lead: Edge ML & Production MLOps

BBI; Dubai; On-site; AED 550,000 - 900,000; Full time

Job summary

BBI in Dubai, UAE, is looking for a senior machine learning lead to design and deploy advanced computer-vision systems. You will drive model selection, run experiments with YOLO, ViT/Transformer architectures, RF-DETR and guide fine-tuning of Vision-Language Models for production use.

You will own the full MLOps lifecycle end to end, mentor a team, conduct code reviews, and communicate solutions with stakeholders and architects to ensure scalable edge-AI deployments with latency and FPS targets.

Qualifications

• Bachelor's or Master's in Computer Science, Machine Learning, Data Science or related field
• 10-15 years of applied machine-learning experience with deep computer-vision expertise
• Strong Python, with hands-on PyTorch/TensorFlow
• Hands-on experience with YOLO, ViT/Transformer architectures, RF-DETR and VLM fine-tuning
• Demonstrated team leadership, mentoring, and stakeholder-communication / solution-architecture skills

Responsibilities

• Lead design and development of computer-vision solutions (object detection, tracking, re-identification, action recognition, segmentation)
• Drive model selection and experimentation with YOLO, ViT/Transformer architectures, and RF-DETR
• Apply and guide use of Vision-Language Models (VLMs), including fine-tuning
• Own model optimisation for production (TensorRT, ONNX, OpenVINO) within edge-AI constraints (latency, FPS, GPU)
• Own the full MLOps lifecycle end to end; lead, mentor and code-review a team; contribute to solution architecture and stakeholder communication

Skills

Python

PyTorch

TensorFlow

Vision-CV

Leadership

Education

Bachelor's or Master's in CS/ML

Tools

YOLO

ViT/Transformer

RF-DETR

ONNX

TensorRT

OpenVINO

Job description

BBI in Dubai, UAE, is looking for a senior machine learning lead to design and deploy advanced computer-vision systems. You will drive model selection, run experiments with YOLO, ViT/Transformer architectures, RF-DETR and guide fine-tuning of Vision-Language Models for production use.

You will own the full MLOps lifecycle end to end, mentor a team, conduct code reviews, and communicate solutions with stakeholders and architects to ensure scalable edge-AI deployments with latency and FPS targets.