AIML DevOps Engineer: Cloud ML Pipelines & MLOps

Robotics Prcocess Automation, LLC; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

ROBOTIC PROCESS AUTOMATION LLC is seeking a hands-on AIML DevOps Engineer to join our AI/ML engineering team in Scottsdale, AZ. The role emphasizes cloud-based MLOps, automation, and DevOps practices to deploy, monitor, and scale AI/ML models in production.

You will design ML pipelines, manage cloud infrastructure across Vertex AI and SageMaker, and implement CI/CD, observability, and secure operations, collaborating with data scientists, ML engineers, and software developers.

Qualifications

• 6+ years of experience in DevOps / CloudOps / MLOps roles.
• Strong experience with GCP AI/ML services (Vertex AI, BigQuery ML, AI Platform) or AWS ML stack (SageMaker, etc.).
• Hands-on experience with containerization and orchestration tools – Docker, Kubernetes.
• Proficiency in Infrastructure-as-Code tools – Terraform, CloudFormation, or Deployment Manager.
• Expertise in CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or ArgoCD.
• Programming experience in Python, Bash, or Go, including ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Strong understanding of DevOps automation, security, and scalability in AI/ML production systems.

Responsibilities

• Design, build, and maintain ML pipelines for training, testing, and deploying AI/ML models.
• Manage and optimize cloud-based ML infrastructure using GCP Vertex AI, AWS SageMaker, or similar services.
• Develop and manage CI/CD pipelines for AI/ML applications ensuring automated deployment and version control.
• Implement observability and monitoring for model performance, system health, and resource utilization.
• Automate end-to-end workflows for data ingestion, model training, deployment, and monitoring.
• Work cross-functionally with data scientists, ML engineers, and software developers to ensure scalable and secure operations.
• Apply MLOps best practices for reproducibility, model governance, and continuous improvement.

Skills

DevOps / CloudOps / MLOps

GCP Vertex AI

AWS SageMaker

CI/CD pipelines

Python

Bash

Go

TensorFlow

PyTorch

Scikit-learn

Security & scalability in AI/ML

Tools

Docker

Kubernetes

Terraform

CloudFormation

Deployment Manager

Jenkins

GitLab CI

GitHub Actions

ArgoCD

Job description

ROBOTIC PROCESS AUTOMATION LLC is seeking a hands-on AIML DevOps Engineer to join our AI/ML engineering team in Scottsdale, AZ. The role emphasizes cloud-based MLOps, automation, and DevOps practices to deploy, monitor, and scale AI/ML models in production.

You will design ML pipelines, manage cloud infrastructure across Vertex AI and SageMaker, and implement CI/CD, observability, and secure operations, collaborating with data scientists, ML engineers, and software developers.