Senior Applied AI Engineer (Computer Vision)

Requirements

• 5+ years of experience building computer vision systems in production environments
• Strong experience with deep learning frameworks (PyTorch / TensorFlow)
• Hands-on experience with: Detection, segmentation, or tracking systems Model training, fine-tuning, and evaluation
• Detection, segmentation, or tracking systems
• Model training, fine-tuning, and evaluation
• Strong understanding of: Representation learning Loss functions (contrastive loss, focal loss, etc.) Evaluation metrics (mAP, IoU, precision/recall)
• Representation learning
• Loss functions (contrastive loss, focal loss, etc.)
• Evaluation metrics (mAP, IoU, precision/recall)
• Experience building and deploying end-to-end vision systems, not just training models
• Candidates whose primary experience is limited to academic projects or model experimentation without real-world deployment may not be a fit for this role.

Nice to Have: