AI Engineer from the R&D team focused on researching and optimizing deep learning model for invisible real-time video watermarking.Topics:* Generative AI (GAN and Autoencoders)* Saliency detection* Image segmentation* Object detectionResponsibilities:* Research* Building R&D code-base for model training and inference* Implementation of novel methods for video watermarking* Using and improving existing state-of-the-art methods for image… Show more AI Engineer from the R&D team focused on researching and optimizing deep learning model for invisible real-time video watermarking.Topics:* Generative AI (GAN and Autoencoders)* Saliency detection* Image segmentation* Object detectionResponsibilities:* Research* Building R&D code-base for model training and inference* Implementation of novel methods for video watermarking* Using and improving existing state-of-the-art methods for image segmentation and object detection* Model optimization* Integration of deep learning models (ONNX/TensorRT) into CPU/GPU video processing pipelines Show less

Working as AI Engineer in the R&D team. Focused on building AI platform for automated content placement in videos.Topics:* Image segmentation* Depth estimation* Image retrieval* Object detection* DL-based temporal video analysis* Generative AI* Differentiable rendering* Optical flowResponsibilities:* Research* Implementation of novel methods for video content analysis* Using existing state-of-the-art methods for image analysis*… Show more Working as AI Engineer in the R&D team. Focused on building AI platform for automated content placement in videos.Topics:* Image segmentation* Depth estimation* Image retrieval* Object detection* DL-based temporal video analysis* Generative AI* Differentiable rendering* Optical flowResponsibilities:* Research* Implementation of novel methods for video content analysis* Using existing state-of-the-art methods for image analysis* Deployment on Azure ML Show less

ML Engineer in the R&D team. Focused on researching and implementation of a novel multi-modal deep learning model for video-based blood pressure estimation.Topics:* Deep learning approaches for for video and time-series data* Machine learning models for tabular data (LGBM, XGBoost, CatBoost, etc.)* Medical signals analysis and features extractionResponsibilities:* Research* Building R&D code-base for medical signals feature extraction, model training and… Show more ML Engineer in the R&D team. Focused on researching and implementation of a novel multi-modal deep learning model for video-based blood pressure estimation.Topics:* Deep learning approaches for for video and time-series data* Machine learning models for tabular data (LGBM, XGBoost, CatBoost, etc.)* Medical signals analysis and features extractionResponsibilities:* Research* Building R&D code-base for medical signals feature extraction, model training and inference* Implementation of novel methods for time-series analysis* Using and improving existing state-of-the-art lightweight models for image classification* Model optimization* Models productization from PyTorch research phase to ONNX applicable in C++ Show less