AIML DevOps Engineer: Scale AI/ML in Production

Machine Intelligence Technologies, LLC; Houston, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

MACHINE INTELLIGENCE TECHNOLOGIES LLC invites an experienced AIML DevOps Engineer to join our AI/ML engineering team in Scottsdale, AZ. You will design and optimize end-to-end ML pipelines, deploy in cloud environments, and implement robust CI/CD for AI/ML applications.

Ideal candidates have 6+ years in DevOps/MLOps, strong cloud expertise (Vertex AI/SageMaker), and deep skills in Docker, Kubernetes, and IaC to ensure scalable, secure production systems.

Qualifications

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

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.
• 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 operations.
• Apply MLOps best practices for reproducibility, model governance, and continuous improvement.

Skills

MLOps experience

GCP Vertex AI

AWS SageMaker

Docker

Kubernetes

Terraform

CI/CD

Python

ML frameworks (TensorFlow, PyTorch, Sc

Tools

Docker

Kubernetes

Terraform

CloudFormation

Jenkins

GitHub Actions

ArgoCD

Job description

MACHINE INTELLIGENCE TECHNOLOGIES LLC invites an experienced AIML DevOps Engineer to join our AI/ML engineering team in Scottsdale, AZ. You will design and optimize end-to-end ML pipelines, deploy in cloud environments, and implement robust CI/CD for AI/ML applications.

Ideal candidates have 6+ years in DevOps/MLOps, strong cloud expertise (Vertex AI/SageMaker), and deep skills in Docker, Kubernetes, and IaC to ensure scalable, secure production systems.