Senior AI DevOps / MLOps Engineer

• Larnaca

Project overview

This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way.

Position overview

We are looking for a Senior AI DevOps / MLOps Engineer to support the delivery of AI, ML, and GenAI solutions in a large banking environment. The role is focused on building secure, scalable, and compliant deployment pipelines for AI applications on the Microsoft Azure stack.

Technology stack

Azure Machine Learning, Azure OpenAI, Azure Kubernetes Service, Azure Functions, Azure DevOps, Git, YAML, Terraform, Bicep, ARM templates, Docker, Kubernetes, Azure Monitor, Application Insights, Log Analytics, Grafana, PowerShell, Python, Bash, Key Vault, RBAC, Managed Identities, Private Endpoints

Responsibilities

• Design and maintain CI/CD and MLOps pipelines for AI/ML solutions.
• Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps.
• Automate infrastructure using Terraform, Bicep, or ARM templates.
• Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation.
• Set up monitoring, logging, alerting, and operational support for AI services and model endpoints.
• Support model versioning, release management, rollback, and production governance.
• Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams.
• Ensure solutions meet banking standards for security, auditability, resilience, and compliance.

Requirements

• 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience.