Senior AI/ML Site Reliability Engineer Lead (MLOps)

Mastercard; Bray (OK); On-site; USD 150,000 - 210,000; Full time

Job summary

Mastercard is seeking a Lead Site Reliability Engineer (AI/ML) to drive the deployment, operation, and continuous improvement of AI/ML solutions. You will translate models from development to production, ensuring they deliver measurable business value and operate reliably at scale.

You will establish robust monitoring, collaborate with AI engineers and product teams to define success metrics, implement MLOps best practices, and work with risk and governance to ensure compliant, ethical AI

Qualifications

• 8+ years in AI/ML operations, MLOps or DevOps.
• Experience deploying AI/ML solutions in production.
• Proficiency in scripting and containerization.
• Familiarity with CI/CD pipelines for ML and monitoring.

Responsibilities

• Lead end-to-end deployment and operationalization of AI/ML models and solutions, ensuring they are scalable, reliable, and integrated seamlessly into existing business processes
• Establish and maintain robust monitoring frameworks for deployed AI solutions. Proactively identify performance bottlenecks, data drifts, and other issues, and drive their resolution to ensure optimal business outcomes
• Work closely with business stakeholders, AI Engineers, and product teams to understand business requirements, define success metrics for AI solutions, and ensure deployed models are directly contributing to key business objectives
• Implement and champion MLOps best practices, automation strategies, and efficient workflows to streamline the deployment lifecycle of AI models, from experimentation to production
• Collaborate with risk, compliance, and governance teams to ensure all AI deployments adhere to internal policies, regulatory requirements, and ethical AI principles
• Lead the response to operational incidents related to deployed AI models, conducting root cause analysis and implementing preventative measures

Skills

AI/ML Operations

MLOps

DevOps

Stakeholder Communication

Leadership

Cross-functional collaboration

Education

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

Tools

Kubernetes

CI/CD for ML

Monitoring tools

Data governance tools

Containerization

Job description

Mastercard is seeking a Lead Site Reliability Engineer (AI/ML) to drive the deployment, operation, and continuous improvement of AI/ML solutions. You will translate models from development to production, ensuring they deliver measurable business value and operate reliably at scale.

You will establish robust monitoring, collaborate with AI engineers and product teams to define success metrics, implement MLOps best practices, and work with risk and governance to ensure compliant, ethical AI