Senior ML Ops Engineer — AI Deployment

Mastercard; Dunboyne; On-site; EUR 120,000 - 150,000; Full time

Job summary

Mastercard is seeking a Senior Machine Learning Ops engineer in Ireland to build and operate pipelines, deployment workflows, and production-readiness practices that turn trained models into reliable, governed services. You will manage experiment tracking, model registries, drift monitoring, and safe deployment patterns.

You will orchestrate training and inference workloads on Databricks, implement observability, and drive secure, scalable CI/CD for AI data workloads in collaboration with cloud

Qualifications

• Experience with MLOps tooling and model lifecycle management.
• Hands-on deployment of AI/ML pipelines in production environments.
• Strong CI/CD experience for data workloads and model serving.

Responsibilities

• Own experiment tracking and model registry practices.
• Implement drift and model-performance monitoring.
• Design and build CI/CD pipelines for AI workloads.
• Onboard platform services onto centralized infrastructure and ensure security.

Skills

MLOps tooling

Experiment tracking

Model deployment

CI/CD pipelines

Databricks

Cloud platforms (AWS/GCP/Azure)

Security best practices

Terraform / IaC

Docker / Kubernetes

Tools

MLflow

Databricks

Terraform

Job description

Mastercard is seeking a Senior Machine Learning Ops engineer in Ireland to build and operate pipelines, deployment workflows, and production-readiness practices that turn trained models into reliable, governed services. You will manage experiment tracking, model registries, drift monitoring, and safe deployment patterns.

You will orchestrate training and inference workloads on Databricks, implement observability, and drive secure, scalable CI/CD for AI data workloads in collaboration with cloud