AI DevOps Engineer

Overview:

Looking for an AI Senior DevOps Engineer to manage and automate the deployment of ML models from development to production. The role combines strong DevOps skills with MLOps experience, including handling model performance, scaling, and infrastructure.

Key Responsibilities:

• Build and manage CI/CD pipelines for ML models (Jenkins, GitHub Actions, Azure DevOps)
• Automate model testing, packaging, and deployment
• Manage cloud infrastructure using Terraform (IaC)
• Set up monitoring for systems and models (Prometheus, Grafana)
• Ensure security across pipelines (IAM, secrets, vulnerability scanning)
• Collaborate with AI/ML teams for smooth deployments

Requirements:

• 6+ years in DevOps/SRE, with 2+ years in MLOps
• Strong CI/CD, Docker, Kubernetes experience
• Hands-on with Azure and Terraform
• Experience with monitoring tools (Prometheus, Grafana)
• Knowledge of databases (MySQL/PostgreSQL/MongoDB)
• Familiarity with security tools and configuration management
• Good communication skills (English C1)