Role overview
POSITION DUTIES:
Develop computer vision algorithms for object detection, tracking, semantic segmentation, and classification. Build and train deep learning models to enable complex urban scene perception and real-time analysis. Participate in end-to-end development: from problem statement, data aggregation, and annotation, through model design, experiments, and training, to the deployment of the optimized model on embedded platforms and iterative improvement automation. Automate improvement cycles of DL models.
DEGREE REQUIREMENTS:
Master of Science degree or the foreign equivalent in Electrical and
Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.
EXPERIENCE REQUIREMENT:
Three (3) years of experience in the position offered, as a Deep Learning Engineer, AI Frameworks Engineer, Machine Learning Engineering Intern, or a related deep learning or machine learning engineering role.
OTHER SPECIAL REQUIREMENTS:
Three (3) years of experience with all of the following: deploying real-world applied computer vision (including deep learning models); Python programming and software design; C++; automated data annotation; PyTorch; OpenCV; and TensorFlow. One (1) year of experience with MLflow.