Lead MLOps Engineer

Responsibilities

Lead the E2E 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 oues

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,pliance, andernance 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

Qualifications

Education: Bachelor's degree inputer Science, Engineering, Data Science, Business, or a related field

Experience: 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.

Technical Skills:

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 dataernance, 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

Excellentmunication, 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 oues without direct authority

Strong understanding of operational processes and a passion for optimizing them

#AI

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networkses with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Job ID R-257642