AIML DevOps Engineer

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

We are seeking ahands‑on AIML DevOps Engineerto join our client’s growing AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience incloud-based MLOps,automation, andDevOpspractices, with the ability to deploy, monitor, and scale AI/ML models efficiently in production environments.

Key Responsibilities

• Design, build, and maintainML pipelinesfor training, testing, and deploying AI/ML models.
• Manage and optimizecloud-based ML infrastructureusingGCP Vertex AI,AWS SageMaker, or similar services.
• Develop and manageCI/CD pipelinesfor AI/ML applications ensuring automated deployment and version control.
• Implementobservability and monitoringfor model performance, system health, and resource utilization.
• Automate end-to-end workflows fordata ingestion, model training, deployment, and monitoring.
• Work cross-functionally withdata scientists, ML engineers, and software developersto ensure scalable and secure operations.
• ApplyMLOps best practicesfor reproducibility, model governance, and continuous improvement.

Required Skills & Experience

• 6+ yearsof experience in DevOps / CloudOps / MLOpsroles.
• Strong experience withGCP AI/ML services(Vertex AI, BigQuery ML, AI Platform) orAWS ML stack(SageMaker, etc.).
• Hands-on experience withcontainerization and orchestrationtools –Docker, Kubernetes.
• Proficiency inInfrastructure-as-Codetools –Terraform, CloudFormation, or Deployment Manager.
• Expertise inCI/CD pipelinesusingJenkins, GitLab CI, GitHub Actions, or ArgoCD.
• Programming experience inPython, Bash, or Go, including ML frameworks such asTensorFlow, PyTorch, Scikit-learn.
• Strong understanding of DevOps automation, security, and scalabilityin AI/ML production systems.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract