AIML DevOps Engineer

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

We are seeking a hands-on AIML DevOps Engineer to join our client’s growing AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience in cloud-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 pipelines for training, testing, and deploying AI/ML models.
• Manage and optimizecloud-based ML infrastructureusing GCP Vertex AI, AWS SageMaker, or similar services.
• Develop and manageCI/CD pipelines for 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 developers to 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.

MACHINE INTELLIGENCE TECHNOLOGIES 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. MACHINE INTELLIGENCE TECHNOLOGIES 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 MACHINE INTELLIGENCE TECHNOLOGIES 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