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Office in United Arab Emirates: Abu Dhabi
Data Science& 4 others
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We're looking for a Lead Data Scientist to join our team in Abu Dhabi, UAE in an onsite working mode. In this role, you will lead advanced computer-vision work for video-analytics platforms. You will drive architecture decisions, guide model development and oversee production deployment. This role offers the opportunity to deliver impactful analytics solutions using machine learning in a dynamic digital environment.
Responsibilities
- Lead computer-vision solutions for object detection, tracking, re-identification, action recognition and segmentation
- Drive model selection and experiments with YOLO, Transformer, ViT and RF-DETR
- Guide the use and fine-tuning of Vision-Language Models for CV tasks
- Optimize models for production using TensorRT, ONNX and OpenVINO
- Architect multi-camera tracking and video-analytics systems
- Manage the MLOps lifecycle: training, deployment and monitoring
- Mentor and review the code of data scientists and engineers
- Present technical direction and solution architecture to stakeholders
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering or related field (PhD a plus)
- 10+ years of applied machine-learning experience with deep computer-vision expertise
- Strong Python skills and hands-on experience with PyTorch and TensorFlow
- Proven use of YOLO, Transformer, ViT and RF-DETR architectures
- Experience with Vision-Language Models and fine-tuning for CV tasks
- Skills in model optimization: TensorRT, ONNX, OpenVINO and edge-AI constraints
- Track record of building multi-camera tracking and video-analytics systems
- Knowledge of MLOps lifecycle including training, deployment and monitoring
- Experience with team leadership, code review and mentoring
- Stakeholder communication skills
Nice to have
- Experience with Large Language Models (LLM) and advanced TensorFlow techniques
- Exposure to solution architecture, MLOps frameworks
- Proficiency with model optimization tools such as OpenVINO, ONNX Runtime and TensorRT
- Hands-on practice with object detection, PyTorch and Python development