Develop and lead solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models, tackling strategic challenges with cutting-edge AI
Job Summary
Develop and lead solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models, tackling strategic challenges with cutting-edge AI.
Work with large volumes of visual data, generating and using synthetic and 3D data to enhance model generalization and robustness.
Automate, version, and monitor training, inference, and deployment pipelines on cloud infrastructure, while mentoring junior data scientists.
Matching Summary
Develop and lead solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models, tackling strategic challenges with cutting-edge AI.
Skills & Requirements
Must-have
Computer Vision, Graphics, Multimodal Models
Object detection (YOLO, RT-DETR)
Image classification (EfficientNet, ResNet)
Siamese networks for visual similarity
Multimodal generative models (Qwen-VL, PaliGemma)
Scene reconstruction (NeRF, Gaussian Splatting)
Synthetic and 3D data generation
MLOps (MLflow, GitHub Actions, Docker, CI/CD)
Cloud infrastructure (Azure, Databricks)
Nice-to-have
Technical leadership and mentorship
Agile, global environment
Strong analytical and problem-solving skills
Passion for innovation and learning
Key Requirements
Bachelor's degree in CS, Engineering, Math or related
Master's or PhD strongly preferred
Deep Learning and Transformer architectures mastery