Data Science Lead

Data Science LeadEXPERIENCE: 10 – 15 YEARS Position SummaryAs 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. ResponsibilitiesLead 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. QualificationsBachelor'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