Jobs → Engineering → AI DevOps Engineer

About the Role We are seeking an experienced AI DevOps Engineer to build, automate, and optimize AI/ML deployment pipelines across cloud environments. The ideal candidate will be responsible for managing MLOps workflows, implementing CI/CD for AI applications, monitoring model performance, ensuring scalability and reliability, and supporting Generative AI solutions in production. Key Responsibilities • Build and automate AI/ML deployment pipelines across cloud environments • Manage MLOps workflows and implement CI/CD for AI applications • Monitor model performance and ensure scalability and reliability • Support Generative AI solutions in production • Implement infrastructure as code using Terraform, ARM, or CloudFormation • Develop Python scripts for automation • Utilize monitoring, logging, and observability tools Requirements • Experience with AI/ML model deployment and MLOps practices • DevOps experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) • Proficiency in cloud platforms: Azure, AWS, or GCP • Containerization and orchestration using Docker and Kubernetes • Infrastructure as Code (Terraform, ARM, CloudFormation) • Python scripting and automation • Monitoring, logging, and observability tools • Experience supporting Generative AI/LLM applications in production