about company
I am currently working with a company focusing on AI, LLM and Computer Vision.
Hybrid working arrangement- 2 days office, 3 days WFH. Office location near Buona Vista. 4 rounds of interview to offer stage.
about job
- Develop & Apply Evaluation Frameworks: Create and use scientifically-grounded frameworks to assess computer vision models for clients, 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, as well as exploring new evaluation methods like adversarial testing and synthetic data
skills and requirements
- 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 (e.g., ResNet, EfficientNet, Mask R-CNN, YOLO).
- Strong coding skills in Python, along with familiarity in setting up automated model evaluation pipelines. Some frontend experience with ReactJS.
- 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.
To apply online please use the &aposapply&apos function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
Desired Skills and Experience
Computer Vision, ResNet, EfficientNet, Mask R-CNN, YOLO
