AIML Engineer (INDIA)

Company Overview:OptraSCAN is a Series B Venture funded company, a leader in AI Pathology solutions, committed to improving diagnostic accuracy and efficiency in healthcare. Our cutting-edge technology enables pathologists and researchers to make accurate diagnoses efficiently and effectively, ultimately improving patient outcomes.Job Description: AIML Engineer (Image Processing /Computer Vision /Medical imaging)OptraSCAN is seeking a talented and motivated AI/ML professional to join our dynamic team. As an AI/ML professional, you will play a pivotal role in the development and implementation of machine learning algorithms and AI models to enhance our digital pathology platform. You will collaborate closely with cross-functional teams to drive innovation and deliver solutions that address complex challenges in healthcare.Responsibilities:Design, develop, and implement machine learning algorithms and AI models for digital pathology applications.Analyze large-scale medical imaging datasets and extract meaningful insights to improve 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 our digital pathology platform.Stay updated on the latest advancements in AI/ML technologies and 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.Requirements:Minimum. 3-6 yr of relevant experience (Digital pathology)Proficient in Python & C++ programming LanguageHands-on experience with TensorFlow and PyTorch frameworksExperience in MATLAB for algorithm development and analysisKnowledge of CUDA programming for GPU accelerationStrong background in Image Processing techniquesKnowledge of AI/ML technology, NLP, Machine learningObject oriented design/development skillsKnowledge of image analysis methods, techniques and practicesIn-depth knowledge of Neural Networks (e.g., CNNs, RNNs, etc.)Familiarity with multithreading and parallel computing concepts.How to Apply:Interested candidates can apply through LinkedIn or send their resume to

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