AI/ML Site Reliability Lead — Deploy, Monitor & Scale

Mastercard

Dublin

On-site

EUR 120,000 - 180,000

Full time

14 days+

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Job summary

Mastercard in Dublin is seeking a Lead Site Reliability Engineer focused on AI/ML. You will own end-to-end deployment, reliability, and productionizing AI models, ensuring scalable, observable systems and business value.

Collaborate with AI engineers, product teams, and risk/compliance to implement MLOps best practices, monitor performance, and drive continuous improvements across the deployment lifecycle. This on-site, full-time role offers growth opportunities and requires strong technical

Qualifications

Minimum 8+ years of experience in AI/ML operations, MLOps, or DevOps.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Strong communication and stakeholder management skills.

Responsibilities

Lead the end-to-end deployment and operationalization of AI/ML models and solutions, ensuring they are scalable and reliable.
Establish and maintain robust monitoring frameworks for deployed AI solutions.
Proactively identify performance bottlenecks, data drifts, and issues, driving resolution for optimal business outcomes.
Collaborate with AI Engineers, product teams, and stakeholders to define success metrics and ensure models deliver business value.
Implement and champion MLOps best practices, automation strategies, and efficient deployment workflows.