Overview
Data Science Lead Jobs in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates at 99brightminds
Title: Data Science Lead
Company: 99brightminds
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Data Science Lead
EXPERIENCE: 10 – 15 YEARS
Position Summary
As Data Science Lead, you will set the technical direction for AIQ's computer-vision research and own the quality of the models that power our video-analytics platform. You will lead a team of data scientists and ML engineers from problem framing through to production and monitoring, while shaping solution architecture and communicating outcomes to stakeholders.
Responsibilities
- Lead the design and development of computer-vision solutions across object detection, tracking, re-identification, action recognition, and segmentation.
- Drive model selection and experimentation with YOLO, Transformer-based / ViT architectures, and RF-DETR.
- Apply and guide the use of Vision-Language Models (VLMs), including fine-tuning for computer-vision tasks.
- Own model optimisation for production (TensorRT, ONNX, OpenVINO), accounting for edge-AI deployment constraints (latency, FPS, GPU limits).
- Architect and oversee multi-camera tracking and video-analytics systems.
- Own the MLOps lifecycle end to end — _training, deployment, and monitoring.
- Lead, mentor, and conduct code reviews for a team of data scientists and engineers.
- Contribute to solution architecture and communicate technical direction and outcomes to stakeholders.
Qualifications
- Bachelor's or Master's degree (PhD a plus) in Computer Science, Machine Learning, Data Science, or a related field.
- 10 – 15 years of applied machine-learning experience, with deep expertise in computer vision.
- Strong Python, with hands-on PyTorch / TensorFlow.
- Hands-on experience with YOLO, Transformer-based / ViT architectures, and RF-DETR.
- Experience with Vision-Language Models (VLMs) and fine-tuning for CV tasks.
- Proven model-optimisation experience (TensorRT, ONNX, OpenVINO) and understanding of edge-AI deployment constraints (latency, FPS, GPU limits).
- Experience building multi-camera tracking and video-analytics systems.
- Command of the full MLOps lifecycle (training → deployment → monitoring).
- Demonstrated team leadership, code review, and mentoring.
- Strong stakeholder-communication and solution-architecture skills