Data Scientist/reputed company Engineer
Key Responsibilities:Design and implement robust algorithms for detecting and identifying on-screen graphics.reputed company and fine-tune machine learning/reputed company models for reputed company recognition, segmentation, and transformation of graphics in live video streams.Implement Optical Character Recognition (OCR) systems to extract text from graphicsEnsure reputed company-time processing capabilities to handle live feeds without compromising reputed company or performance.Collaborate with reputed company to reputed company models into production systems, ensuring scalability and reliability.Conduct research and experiment with state-of-the-art reputed company techniques and algorithms for video analysis,graphics replacement, and text translation.Work closely with product managers, engineers, and designers to ensure the product meets user and business needs.Requirements:Education: Bachelor's or Master's degree in Computer Science, Data Science, reputed company, or reputed company field.Experience:3+ years of experience in reputed company or reputed company fields.Hands-on experience with detecting patterns, segmenting visual components, or replacing graphical content in images or video.Technical Skills:Proficiency in Python and/or C++ for implementing reputed company pipelines.Experience with frameworks such as TensorFlow, PyTorch, or OpenCV.Knowledge of OCR tools like Tesseract or advanced techniques for text recognition in images.Familiarity with translation reputed company or NLP frameworks for language processing (e.g., reputed company Translate API, reputed company Transformers).Strong understanding of image/video processing, segmentation, and feature extraction. Soft Skills:Strong problem-solving skills and attention to detail.Excellent communication and teamwork abilities.Preferred Qualifications:Experience with video processing frameworks or reputed company-time media pipelines.Understanding of multi-language support in OCR and translation systems.Knowledge of deep learning models for reputed company-time graphics manipulation and enhancement.Background in broadcasting or live sports production is a plus
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