Senior AI DevOps / MLOps Engineer
- Lárnaca
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Project overview
Position overview
Technology stack
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.
- Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management.
- Experience with Azure Machine Learning and/or MLOps platforms.
- Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment.
- Experience with Docker, Kubernetes, and AKS.
- Experience with Infrastructure as Code: Terraform, Bicep, or ARM.
- Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana.
- Scripting skills in PowerShell, Python, or Bash.
- Experience working in regulated enterprise environments, preferably banking, fintech, or insurance.
Nice to have
- Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow.
- Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview.
- Understanding of AI governance, model risk, data privacy, and audit requirements.
- Experience with Microsoft security tools such as Defender for Cloud or Sentinel.
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