AIML DevOps Engineer

  • Houston, TX
  • Posted 16 hours ago | Updated 16 hours ago

Overview

On Site
$70 - $80
Accepts corp to corp applications
Contract - Independent
Contract - 15 Month(s)
10% Travel
Able to Provide Sponsorship

Skills

GitHub
Terraform
TensorFlow
Python

Job Details

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, and DevOps practices, with the ability to deploy, monitor, and scale AI/ML models efficiently in production environments.


Key Responsibilities

  • Design, build, and maintain ML pipelines for training, testing, and deploying AI/ML models.
  • Manage and optimize cloud-based ML infrastructure using Google Cloud Platform 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.

Required Skills & Experience

  • 6+ years of experience in DevOps / CloudOps / MLOps roles.
  • Strong experience with Google Cloud Platform 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.

    We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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