AI/ML SRE Lead: End-to-End Deployments & Reliability

Mastercard; Maynooth; On-site; EUR 130,000 - 190,000; Full time

Job summary

Mastercard is seeking a Lead Site Reliability Engineer to drive the end-to-end deployment and operationalization of AI/ML models in production. You will ensure scalable, reliable solutions and collaborate with AI engineers, product teams, and stakeholders to measure success and business impact.

The role emphasizes robust monitoring, CI/CD for ML, governance alignment, and incident response to minimize risk while delivering tangible business value in an AI-driven environment in Ireland.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Business, or a related field.
• Minimum of 8+ years of experience in AI/ML operations, MLOps, DevOps, or a related role with a strong focus on deploying and managing AI/ML solutions in production environments.
• Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring.
• Experience with one of the cloud platforms and their AI/ML services
• Proficiency in scripting and
• Familiarity with containerization technologies
• Knowledge of CI/CD pipelines for machine learning models.
• Experience with monitoring tools for AI/ML solutions
• Understanding of data governance, data quality, and data security principles relevant to AI/ML
• Strong ability to understand business needs, translate them into technical requirements for AI solutions, and articulate the business value of AI deployments.
• Excellent communication, interpersonal, and stakeholder management skills
• Ability to effectively bridge the gap between technical and business teams
• Demonstrated ability to lead initiatives, drive cross-functional projects, and influence outcomes without direct authority
• Strong understanding of operational processes and a passion for optimizing them

Responsibilities

• Lead the E2E deployment and operationalization of AI/ML models and solutions, ensuring they are scalable, reliable, and integrated into existing processes
• Establish and maintain robust monitoring frameworks for deployed AI solutions and drive resolutions for data drifts and performance bottlenecks
• Collaborate with stakeholders, AI Engineers, and product teams to define success metrics and ensure models contribute to business objectives
• Implement and champion MLOps best practices, automation strategies, and efficient workflows across the deployment lifecycle
• Coordinate with risk, compliance, and governance teams to adhere to policies and ethical AI principles
• Lead incident response for deployed AI models, performing root cause analysis and implementing preventative measures

Skills

AI/ML lifecycle

MLOps

DevOps

Monitoring

CI/CD

Containers

Data governance

Stakeholder mgmt

Education

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

Tools

Cloud platforms

Scripting

Kubernetes

CI/CD pipelines for ML

Monitoring tools

Job description

Mastercard is seeking a Lead Site Reliability Engineer to drive the end-to-end deployment and operationalization of AI/ML models in production. You will ensure scalable, reliable solutions and collaborate with AI engineers, product teams, and stakeholders to measure success and business impact.

The role emphasizes robust monitoring, CI/CD for ML, governance alignment, and incident response to minimize risk while delivering tangible business value in an AI-driven environment in Ireland.