TL - Computer Vision (Digital pathology)

Role Overview: As an AI/ML professional at Optra Scan, you will be an integral part of the team responsible for developing and implementing machine learning algorithms and AI models to enhance the digital pathology platform. Your contributions will be pivotal in driving innovation and addressing complex challenges in healthcare. You will collaborate closely with cross-functional teams to ensure the efficient and effective delivery of solutions that improve patient outcomes. Key Responsibilities: - Design, develop, and implement machine learning algorithms and AI models specifically for digital pathology applications. - Analyze large-scale medical imaging datasets to extract meaningful insights that enhance diagnostic accuracy and efficiency. - Optimize algorithms for performance, scalability, and robustness in real-world clinical settings. - Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into the digital pathology platform. - Stay updated on the latest advancements in AI/ML technologies to contribute to continuous learning and improvement within the team. - Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices. Qualifications Required: - Minimum 3-6 years of relevant experience in Digital pathology. - Proficiency in Python & C++ programming languages. - Hands-on experience with TensorFlow and PyTorch frameworks. - Experience in MATLAB for algorithm development and analysis. - Knowledge of CUDA programming for GPU acceleration. - Strong background in Image Processing techniques. - Familiarity with AI/ML technology, NLP, and Machine learning. - Object-oriented design/development skills. - Knowledge of image analysis methods, techniques, and practices. - In-depth understanding of Neural Networks (e.g., CNNs, RNNs, etc.). - Familiarity with multithreading and parallel computing concepts. (Note: Additional details about the company were not provided in the job description.) Role Overview: As an AI/ML professional at Optra Scan, you will be an integral part of the team responsible for developing and implementing machine learning algorithms and AI models to enhance the digital pathology platform. Your contributions will be pivotal in driving innovation and addressing complex challenges in healthcare. You will collaborate closely with cross-functional teams to ensure the efficient and effective delivery of solutions that improve patient outcomes. Key Responsibilities: - Design, develop, and implement machine learning algorithms and AI models specifically for digital pathology applications. - Analyze large-scale medical imaging datasets to extract meaningful insights that enhance diagnostic accuracy and efficiency. - Optimize algorithms for performance, scalability, and robustness in real-world clinical settings. - Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into the digital pathology platform. - Stay updated on the latest advancements in AI/ML technologies to contribute to continuous learning and improvement within the team. - Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices. Qualifications Required: - Minimum 3-6 years of relevant experience in Digital pathology. - Proficiency in Python & C++ programming languages. - Hands-on experience with TensorFlow and PyTorch frameworks. - Experience in MATLAB for algorithm development and analysis. - Knowledge of CUDA programming for GPU acceleration. - Strong background in Image Processing techniques. - Familiarity with AI/ML technology, NLP, and Machine learning. - Object-oriented design/development skills. - Knowledge of image analysis methods, techniques, and practices. - In-depth understanding of Neural Networks (e.g., CNNs, RNNs, etc.). - Familiarity with multithreading and parallel computing concepts. (Note: Additional details about the company were not provided in the job description.)