AI Platform Engineer: Scale ML Infrastructure

Park Place Technologies in; Highland Heights (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Park Place Technologies AI Platform Engineer is responsible for deploying and managing the computing and storage backbone powering AI models. Working on-site with AI Data Engineering, IT Infrastructure, Security, and business stakeholders, this role ensures reliability, performance, and scalability of our AI/ML infrastructure.

Responsibilities include provisioning CPU/GPU clusters, IaC with Terraform/Ansible, CI/CD pipelines and Kubernetes, data stores for LLMs, monitoring, and cross-functional

Qualifications

• 2+ years in infrastructure/DevOps/platform engineering with some AI/ML exposure.
• Proficiency in cloud computing, container orchestration, and infrastructure-as-code.
• Knowledge of networking and distributed storage.
• Experience with monitoring/observability tools.
• Ability to troubleshoot complex systems and collaborate cross-functionally.
• Foundational understanding of AI/ML concepts.

Responsibilities

• Provision and maintain CPU/GPU compute clusters and high-bandwidth storage for AI/ML.
• Develop and maintain IaC modules using Terraform and Ansible; participate in reviews.
• Develop and maintain CI/CD pipelines and Kubernetes-based orchestration.
• Set up and monitor data stores for LLMs and RAG pipelines; coordinate with data teams.
• Monitor performance and logs; implement improvements with guidance from senior engineers.
• Collaborate with AI Data Engineering, IT Infrastructure, Security, and business leaders.

Skills

Terraform

Ansible

Kubernetes

Flux

CI/CD

AI/ML

Tools

Terraform

Ansible

Kubernetes

Flux

Job description

Park Place Technologies AI Platform Engineer is responsible for deploying and managing the computing and storage backbone powering AI models. Working on-site with AI Data Engineering, IT Infrastructure, Security, and business stakeholders, this role ensures reliability, performance, and scalability of our AI/ML infrastructure.

Responsibilities include provisioning CPU/GPU clusters, IaC with Terraform/Ansible, CI/CD pipelines and Kubernetes, data stores for LLMs, monitoring, and cross-functional