Vinbrain Fullstack EngineerVingroup

VinBrain is a company funded by Vingroup, the largest conglomerate in Vietnam by market capitalization. Our mission is to perform cutting-edge research and development of AI, Machine Learning, and Deep Learning technologies and products that will lead to improved healthcare systems and quality of life. At VinBrain, we believe the greatest promise of Big Data lies in healthcare. We believe that by solving unique and challenging problems at the intersection of (medical) Big Data, AI, IoT, and IoP (Internet of People), we can improve the outcomes for patients around the globe. We have assembled seasoned leaders, engineers, and entrepreneurs with years of experience from world-class companies such as Microsoft, Amazon, Adobe, and Google to build the platform and services to achieve this. If you are motivated to be part of something special and to be a catalyst for improving lives and healthier communities, we want to talk to you.
We are seeking Vietnamese applicants (located at our offices in Hanoi and Ho Chi Minh City) with expertise in front-end and back-end engineering who can contribute significantly to the development of large-scale intelligent cloud-based technologies that enhance patient and physician experiences. As a part of our fast-paced, flexible team, you will drive operational excellence, develop and implement product features, define product features, and lead engineering best practices that enable a high-quality product.
Responsibilities:
•Design and implement core and software components for our system
• Analyze and improve efficiency, scalability, and stability of various system resources
• Optimize machine learning algorithms for runtime and integrate them into products
• Understand clinician workflows, work closer with experts (doctors, specialists) and how our product can best fit into those workflows
• Familiar and growing your own expertise in machine learning
• Collaborate effectively with product managers and applied scientists to build successful products • Build software framework that optimize and reuse in development life cycle
• Practice disciplined software engineering (e.g. automated testing, code reviews)