Senior Machine Learning Infrastructure Engineer

About DataXight At DataXight, we're on a bold mission to transform healthcare through groundbreaking data-driven solutions. We're passionate about empowering our team to work on projects that not only push boundaries but also make a tangible difference in the lives of millions. Are you ready to be part of something greater? The Role We are looking for a highly skilled Senior ML Infrastructure Engineer to join our dynamic team and lead the development of a machine learning infrastructure on a commercial healthcare cloud platform. In this role, you will collaborate with cross-functional teams to design, develop, and deploy scalable and reliable ML solutions, driving innovation and excellence in healthcare.Your role & responsibilities Automation and Integration: Develop and implement automation strategies to streamline software deployment cycles and machine learning model deployments. Create innovative solutions to enhance operational efficiency and reduce manual intervention. Monitoring and Performance: Establish and manage comprehensive monitoring systems for both applications and infrastructure. Identify and resolve performance issues to ensure high availability and reliability. Container Services Management: Manage and optimize Docker and container orchestration services. Ensure seamless deployment and scalability of containerized applications. Distributed System Design: Design and implement distributed systems to ensure scalability, reliability, and performance across multiple nodes and environments. ML Infrastructure Implementation: Design and deploy machine learning models across various environments. Ensuring robust, scalable, and repeatable processes for ML model lifecycle management. Your skills & qualificationsMust-Have Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Practical experience programming in Python and/or C/C++. Proficient in system-level software, particularly hardware-software interactions and resource utilization. Proficiency in managing Docker containers and orchestration tools such as Kubernetes. Proven experience in designing and implementing distributed systems to ensure scalability and reliability. Proven experience in deploying ML models. Strong experience with AWS cloud platforms and familiarity with cloud-native technologies. Fluency in English, with the ability to effectively communicate with international clients. Ability to work on-site in District 2, Ho Chi Minh City, Vietnam. Preferred, But Not Required Understanding of Infrastructure as Code (IaC) concepts. Strong proficiency in machine learning concepts and algorithms. Exemplary leadership, communication, interpersonal, and client engagement skills. Experience in healthcare or related industries. Familiarity with JIRA and agile development methodologies. Benefits for youWhy You Should Apply This is more than a job; it’s an opportunity to join a team that's earnest about making a global impact in human health. We provide room for growth, a dynamic and collaborative environment, and the chance to make your mark in an industry ripe for innovation. Join our team and immerse yourself in a dynamic, supportive, and friendly workplace that fosters collaboration and personal growth. We are committed to your professional development and offer opportunities for training and attending conferences to enhance your skills and knowledge in your field. Our comprehensive benefits package includes: 12 days of annual leave 2 floating holidays 11 national holidays Public and private health insurance Company-provided onsite lunches Access to a MacBook and cloud computing resources and tools. By joining our team, you'll be part of an environment where innovation thrives and your ideas matter. At DataXight, we value diversity and teamwork. Work alongside talented and supportive professionals to transform healthcare. Take the next step in your career and apply at DataXight today. We look forward to reviewing your application and potentially welcoming you to our globally connected team!