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AIML DevOps Engineer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Machine Intelligence Technologies, LLC
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

We are seeking a hands-on AIML Dev Ops 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 infrastructure using GCP Vertex AI, AWS Sage Maker, or similar services.
  • Develop and manageCI/CD pipelines for AI/ML applications ensuring automated deployment and version control.
  • Implementobservability and monitoring for 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 practices for reproducibility, model governance, and continuous improvement.
Required Skills & Experience
  • 6+ yearsof experience in Dev Ops / Cloud Ops / MLOpsroles.
  • Strong experience withGCP AI/ML services(Vertex AI, Big Query ML, AI Platform) orAWS ML stack(Sage Maker, etc.).
  • Hands-on experience with containerization and orchestration tools –Docker, Kubernetes.
  • Proficiency in Infrastructure-as-Codetools –Terraform, Cloud Formation, or Deployment Manager.
  • Expertise inCI/CD pipelines using

    Jenkins, Git Lab CI, Git Hub Actions, or ArgoCD.
  • Programming experience in Python, Bash, or Go, including ML frameworks such asTensor

    Flow, PyTorch, Scikit-learn.
  • Strong understanding of Dev Ops 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

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