Senior AI DevOps Engineer: Scale ML in Production

ReqRoute,Inc; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

ReqRoute,Inc in Plano, TX is seeking an AI DevOps Engineer to integrate AI/ML models into production, manage cloud infrastructure, and automate deployment pipelines. The role focuses on reliability, scalability, and security while collaborating with data scientists, software engineers, and business stakeholders.

We value 9+ years of experience, strong Python and cloud proficiency, and hands-on expertise with CI/CD, containers, and infrastructure-as-code to deliver robust AI-powered products.

Qualifications

• Proficiency in Python; Bash or Java familiarity is beneficial.
• Experience with AWS, Azure, or Google Cloud for AI deployment.
• Understanding of ML models, data pipelines, and AI frameworks like TensorFlow or PyTorch.
• Experience with CI/CD tools (Jenkins, GitLab CI), containers (Docker, Kubernetes), and IaC (Terraform, Ansible).
• Strong problem-solving skills and ability to communicate with both technical and non-technical stakeholders.

Responsibilities

• AI/ML Deployment and Operations: Deploy, monitor, and maintain AI models in production.
• Infrastructure Management: Manage cloud and on-prem resources, including GPU servers.
• CI/CD Pipeline Development: Build and manage CI/CD pipelines for AI apps.
• Automation and Scripting: Automate tasks and deployments using Python and scripts.
• Collaboration: Work with engineers, data scientists, and product managers to implement AI solutions.
• Monitoring and Security: Implement monitoring and security best practices for AI systems.
• Documentation and Training: Create technical docs and provide end-user training.

Skills

Python

Bash/Java

Cloud platforms

AI/ML knowledge

CI/CD

Docker

Kubernetes

Terraform/Ansible

Problem-solving

Communication

Tools

Jenkins

GitLab CI

Docker

Kubernetes

Terraform

Ansible

Job description

ReqRoute,Inc in Plano, TX is seeking an AI DevOps Engineer to integrate AI/ML models into production, manage cloud infrastructure, and automate deployment pipelines. The role focuses on reliability, scalability, and security while collaborating with data scientists, software engineers, and business stakeholders.

We value 9+ years of experience, strong Python and cloud proficiency, and hands-on expertise with CI/CD, containers, and infrastructure-as-code to deliver robust AI-powered products.