ML Engineer - Internship
Alta Ares, Paris
What you will do
- Model training: Improve and optimise training pipelines for computer vision tasks, including object detection, segmentation and tracking.
- Model evaluation: Develop evaluation frameworks using standard metrics such as mAP, IoU, precision and recall, and automate experiment tracking.
- Data management: Build reproducible workflows for dataset versioning, augmentation and preprocessing of large-scale image and video datasets.
- Model deployment: Contribute to deployment workflows for optimised AI models running on edge devices and embedded systems.
- Monitoring and reliability: Implement tools to monitor deployed models and assess their robustness and performance.
- Documentation and collaboration: Work closely with the Data & AI team to document best practices and help build scalable ML infrastructure.