{"id":9446,"date":"2026-07-08T07:05:52","date_gmt":"2026-07-08T07:05:52","guid":{"rendered":"https:\/\/99brightminds.com\/job\/data-science-lead-2\/"},"modified":"2026-07-12T10:52:28","modified_gmt":"2026-07-12T10:52:28","slug":"data-science-lead-2","status":"publish","type":"job","link":"https:\/\/99brightminds.com\/ar\/job\/data-science-lead-2\/","title":{"rendered":"Data Science Lead"},"content":{"rendered":"
\n

Published<\/strong>: July 8, 2026<\/p>\n

\nAbout the job<\/h2>\n<\/div>\n

Data Science Lead<\/strong><\/p>\n

EXPERIENCE: 10 \u2013 15 YEARS<\/strong><\/p>\n

\u00a0<\/strong><\/p>\n

Position Summary<\/strong><\/p>\n

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.<\/p>\n

\u00a0<\/strong><\/p>\n

Responsibilities<\/strong><\/p>\n

    \n
  • Lead the design and development of computer-vision solutions across object detection, tracking, re-identification, action recognition, and segmentation.<\/li>\n
  • Drive model selection and experimentation with YOLO, Transformer-based \/ ViT architectures, and RF-DETR.<\/li>\n
  • Apply and guide the use of Vision-Language Models (VLMs), including fine-tuning for computer-vision tasks.<\/li>\n
  • Own model optimisation for production (TensorRT, ONNX, OpenVINO), accounting for edge-AI deployment constraints (latency, FPS, GPU limits).<\/li>\n
  • Architect and oversee multi-camera tracking and video-analytics systems.<\/li>\n
  • Own the MLOps lifecycle end to end \u2014 _training, deployment, and monitoring.<\/li>\n
  • Lead, mentor, and conduct code reviews for a team of data scientists and engineers.<\/li>\n
  • Contribute to solution architecture and communicate technical direction and outcomes to stakeholders.<\/li>\n<\/ul>\n

     <\/p>\n

    Qualifications<\/strong><\/p>\n

      \n
    • Bachelor’s or Master’s degree (PhD a plus) in Computer Science, Machine Learning, Data Science, or a related field.<\/li>\n
    • 10 \u2013 15 years of applied machine-learning experience, with deep expertise in computer vision.<\/li>\n
    • Strong Python, with hands-on PyTorch \/ TensorFlow.<\/li>\n
    • Hands-on experience with YOLO, Transformer-based \/ ViT architectures, and RF-DETR.<\/li>\n
    • Experience with Vision-Language Models (VLMs) and fine-tuning for CV tasks.<\/li>\n
    • Proven model-optimisation experience (TensorRT, ONNX, OpenVINO) and understanding of edge-AI deployment constraints (latency, FPS, GPU limits).<\/li>\n
    • Experience building multi-camera tracking and video-analytics systems.<\/li>\n
    • Command of the full MLOps lifecycle (training \u2192 deployment \u2192 monitoring).<\/li>\n
    • Demonstrated team leadership, code review, and mentoring.<\/li>\n
    • Strong stakeholder-communication and solution-architecture skills<\/li>\n<\/ul>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"class_list":["post-9446","job","type-job","status-publish","hentry"],"acf":[],"yoast_head":"\nData Science Lead - 99brightminds<\/title>\n<meta name=\"description\" content=\"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. 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