Senior Machine Learning Infrastructure Engineer

• 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.

Must-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.