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

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 computer-vision expertise.
Strong Python skills with hands-on PyTorch/TensorFlow experience.
Hands-on experience with YOLO, ViT/Transformer architectures, RF-DETR, and VLM fine-tuning.
Demonstrated team leadership, mentoring, and stakeholder communication/solution architecture skills.

Data Science Lead at BBI

Data Science Lead