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Computer Vision Scientist
RANDSTAD PTE. LIMITEDSingapore28 days ago
Job descriptionMin 2 years of experience in computer vision Proven experience in evaluating computer vision models using metrics such as mAP, IoU, F1-score, precision-recall, and others relevant to the specific task Experience with large-scale datasets such as ImageNet, COCO, or custom datasets, as well as managing annotation quality and dataset curation Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with a deep understanding of computer vision architectures (e.g., ResNet, EfficientNet, Mask R-CNN, YOLO) 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 (e.g., AWS, GCP) for scaling model evaluation tasks Singapore Citizen only due to project sensitivity To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA : 94C3609 / R1875382)
about company
I am currently working with a company focusing on AI, LLM and Computer Vision.
Salary structure : Base + bonus! Hybrid working arrangement- 2 days office, 3 days WFH. Office location at CBD. 4 rounds of interview to offer stage.
about job
- Evaluate Computer Vision models focusing on rigorous technical and analytical AI evaluation frameworks
- Work on the development of comprehensive evaluation frameworks for assessing the performance of computer vision models (e.g., object detection, image classification, segmentation, pose estimation, etc.)
- Stay abreast of the latest advancements in computer vision, AI, and deep learning to incorporate cutting-edge evaluation techniques
skills and requirements
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Scientist • Singapore