AIML DevOps Engineer

Ethereum Technologies LLC; Scottsdale (AZ); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology company is seeking a hands-on AIML DevOps Engineer to join its AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have over 6 years of experience in DevOps and a strong background in cloud-based MLOps, automation, and DevOps practices. Key responsibilities include designing ML pipelines, optimizing cloud infrastructure, and implementing CI/CD workflows. The company values equal opportunity and inclusivity, ensuring diverse hiring practices.

Qualifications

• 6+ years of experience in relevant DevOps/CloudOps roles.
• Strong expertise in AI/ML services on GCP or AWS.
• Hands-on with Docker and Kubernetes for container orchestration.

Responsibilities

• Design and maintain ML pipelines for AI/ML models.
• Optimize cloud-based ML infrastructure with GCP or AWS.
• Automate workflows for data ingestion and model monitoring.

Skills

DevOps / CloudOps / MLOps experience

GCP AI/ML services experience

Containerization and orchestration tools

Infrastructure-as-Code tools

CI/CD pipelines expertise

Programming in Python, Bash, or Go

Understanding of DevOps automation

Tools

Docker

Kubernetes

Terraform

CloudFormation

Jenkins

GitLab CI

GitHub Actions

ArgoCD

Job description

We are seeking ahands-on AIML DevOps Engineer to join our client's growing AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience incloud-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 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.

Required Skills & Experience

• 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.

ETHEREUM 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. ETHEREUM 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 ETHEREUM 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