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Lead Computer Vision Engineer
3 weeks ago
AI Scientist at a leading technology firm. This is a challenging role that requires developing and applying scientifically-grounded frameworks to assess computer vision models for clients.
Key Responsibilities:- Develop & Apply Evaluation Frameworks: Create and use frameworks to assess computer vision models including object detection, image classification, segmentation, and pose estimation.
- Advancing AI model evaluation in computer vision, including leading publications, conferences, and presentations on AI performance and evaluation.
- Min 2 years of experience deploying/evaluating computer vision models, AI or LLM using metrics.
- Proven experience in evaluating computer vision models using metrics such as mAP, IoU, F1-score.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with a deep understanding of computer vision architectures.
- Strong coding skills in Python, along with familiarity in setting up automated model evaluation pipelines.
- Experience with data augmentation, synthetic data generation, and adversarial testing.
- Familiarity with MLOps tools and cloud platforms for scaling model evaluation tasks.
This is an excellent opportunity to work with cutting-edge technology and collaborate with a team of experts in the field.
Preferred Skills:Computer Vision, ResNet, EfficientNet, Mask R-CNN, YOLO
Seniority level- Mid-Senior level
- Full-time
- Information Technology
- Industries: Technology, Information and Internet
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