Design and develop artificial intelligence AI systems leveraging a combination of signal processing, computer vision including large vision models and multi modal models.
Design and build scalable data pipelines to support model training and production with DevOps MLOps.
Engage in research and development of new AI capabilities especially in areas such as multi modal models including combining traditional computer vision capabilities with multi modal models, fine tune multi modal models for domain adaptation and optimize models for different deployment scenarios.
Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production
Job Qualification:
Experience with computer vision, signal processing and deep learning. Proficiency in OpenCV, Python, Pytorch TensorFlow based CNN architectures, and large vision models e.g., ViT, DinoV2.
Experience handling large scale datasets and implementing data preprocessing and augmentation techniques for creating training datasets.
Proficiency in keeping abreast of the latest papers and research in AI, and the ability to translate research findings into practical applications.
PhD or Master in Computer Science or relevant Engineering field
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