Especialista Cientista de Dados

Analityka rynku

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Opis

Accountabilities - Develop Computer Vision models for object detection, classification, segmentation, and tracking in images and videos. - Design, train, and optimize deep neural networks using modern Deep Learning architectures, including CNNs, Transformers, and generative models. - Build and maintain data preparation, processing, annotation, and augmentation pipelines to ensure the quality and reliability of visual datasets. - Conduct experiments and model evaluations, establish performance metrics, validate results, and monitor model effectiveness. - Apply transfer learning, fine-tuning, and hyperparameter optimization techniques to improve model accuracy and efficiency. - Write scalable, high-quality Python code following software engineering best practices, including version control and testing. - Implement MLOps processes for model versioning, packaging, deployment, and monitoring in production environments. - Optimize and compress models for environments with processing constraints, including edge computing and embedded devices. - Leverage cloud platforms and GPU-based infrastructure to train models and process large volumes of data. - Collaborate with product, engineering, and business teams to understand challenges, design effective solutions, and deliver measurable value through AI and data. - Keep solutions evolving by monitoring research, emerging technologies, and industry developments in Artificial Intelligence, Machine Learning, and Computer Vision. - Share tec

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