AIML DevOps Engineer

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 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. Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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 #J-18808-Ljbffr