Job Title

Company DescriptionAindra Systems is on a mission to democratize cancer diagnostics through AI-powered computational pathology. Our full-stack platform—combining whole slide imaging scanners, AI algorithms, and cloud telepathology—is transforming how diagnostic centers and hospitals deliver accurate, accessible cancer screening across India. We’re a fast-moving health-tech startup backed by innovation, impact, and a relentless focus on solving real problems in healthcare.Role DescriptionThis is a full-time, on-site role for an AI & ML Research and Development Engineer with a minimum of 3-4 years of experience and must have worked in the field of using AI in Medical Imaging. The AI & ML Research and Development Engineer will be responsible for development of our AI platform Astra that is used for detection of multiple cancers. They will also be responsible for pattern recognition, software development, neural networks, natural language processing, and computer science.The Ideal Candidate: We believe that the ideal candidate for this role is someone who has worked in the field of AI in Medical Imaging and is a combination of a:Machine Learning Guru, with a research bent of mindA Startup Spirit, who loves great work and is not motivated only by moneyKickass Programmer, who loves to see his code create magicProblem Solver, who can get his way around problemsJob DescriptionDeveloping algorithms for Medical Imaging (digital pathology) applications based on current literature using appropriate AI foundation models and frameworksDeveloping proof of concept in your language of preferenceConverting these PoC's into high performance applications in C/C++Capable of developing scalable and high-performance algorithms for deploymentPerform technical root cause analysis and outlining corrective action for given problems using debuggers, log files etcRequired SkillsExpertise in image classification, segmentation, feature extraction and machine learningStrong understanding of linear algebra, optimisation, probability and statisticsProficiency in computer science and software developmentExperience with pattern recognition, image processing, and neural networks,Excellent skills developing in C/C++ and Python and experience working in a Linux environmentExperience with deep learning frameworks like TensorFlow or PyTorchExperience working with OpenCV, Numpy etcQualificationsMS/MTech/PhD with a focus on Machine Learning, Computer Vision and Artificial Intelligence in the domain of Medical Imaging in PathologyAbility to work independently and collaboratively in a team environmentStrong problem-solving skills and ability to think out-of-the-boxExcellent written and verbal communication skills in EnglishExperience in the medical imaging domain is mandatoryMust be a quick learner and be willing to work on new programming languages depending on requirementMust mandatorily have good aptitude skillsGreat to have: The ability to communicate technical information clearly and succinctly to both technical and non-technical teams