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NetSuite · 3 months ago

AI/ML Infrastructure Engineer

Nashville, TN, United States

Full-time

Onsite

Mid, Senior Level

6+ years exp

NetSuite is a leading provider of cloud-based business management software. They are seeking an AI/ML Infrastructure Engineer to design, implement, and manage infrastructure for AI/ML workloads, ensuring optimal performance and collaboration across teams.

Cloud ComputingComputerCRMiOSSaaSSoftware

Responsibilities

Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes

Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems

Solid understanding of networking concepts, security principles, and best practices

Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment

Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders

Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration

Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization

Strong proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala

Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads

Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus

Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus)

Strong experience with High-Performance Computing systems

Qualification

AI/ML infrastructure managementContainerization technologiesLinux system administrationScriptingAutomationNetworking conceptsProgramming languagesDevOps practicesProblem-solving skillsCommunication skillsDocumentation skills

Required