AI/ML Production SRE Lead

Mastercard

Bray

On-site

EUR 120,000 - 160,000

Full time

11 days ago
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Job summary

Mastercard in Bray, Ireland is seeking a Lead Site Reliability Engineer (AI/ML) to drive the deployment, operationalization and continuous improvement of AI/ML solutions. You will translate models from development to production, ensuring reliability and measurable business impact.

You will lead end-to-end deployment, establish monitoring, collaborate with AI engineers and product teams, and champion MLOps practices while ensuring governance and security for scalable AI deployments across the

Qualifications

  • 8+ years in AI/ML operations, MLOps, DevOps, or related role with production experience.
  • Strong understanding of AI/ML lifecycle from data prep to deployment and monitoring.
  • Experience with cloud platforms and their AI/ML services.
  • Scripting proficiency and familiarity with containerization.
  • Knowledge of CI/CD pipelines for machine learning models.
  • Experience with monitoring and data governance for AI/ML.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • E2E deployment and operationalization of AI/ML models and solutions.
  • Establish robust monitoring for deployed AI solutions and address performance bottlenecks and data drift.
  • Collaborate with stakeholders and product teams to define success metrics and business impact.
  • Lead MLOps implementation and optimize deployment workflows from experimentation to production.
  • Work with risk, compliance, and governance teams to ensure aligned policies.
  • Lead incident response for AI deployments and perform root cause analysis.

Skills

AI/ML operations
MLOps
DevOps
Cloud platforms
Scripting
Containerization
CI/CD for ML
Data governance & security
Stakeholder management
Leadership

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Docker
Kubernetes
CI/CD tools
Monitoring tools

Job description

Mastercard in Bray, Ireland is seeking a Lead Site Reliability Engineer (AI/ML) to drive the deployment, operationalization and continuous improvement of AI/ML solutions. You will translate models from development to production, ensuring reliability and measurable business impact.

You will lead end-to-end deployment, establish monitoring, collaborate with AI engineers and product teams, and champion MLOps practices while ensuring governance and security for scalable AI deployments across the

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