Back
Tier-1 brand, metro location, and highly visible AI role with broad skill demands increases applicant competition.
Role requires specialized GenAI, LLMOps, and production ML skills, limiting cross-industry transferability.
Extensive mandatory LLM, MLOps, cloud, and production deployment requirements impose strict technical shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy enterprise-grade AI and Generative AI solutions (LLMs, RAG frameworks, Agentic AI) to solve complex business problems and enhance operational efficiency in Mastercard’s Global Pricing & Interchange team.
Build and operationalize scalable AI applications with cloud-native services, APIs, and MLOps/LLMOps pipelines ensuring security, governance, and compliance.
Drive enterprise adoption of AI by collaborating with business and technical stakeholders to translate requirements into AI-powered decision-making tools and automated workflows.
Bachelor's or Master's degree in Computer Science, AI, ML, Engineering, Data Science, or related technical field.
Experience designing, developing, and deploying AI, Generative AI, or Machine Learning solutions in production environments.
Hands-on experience with Large Language Models, Agentic AI systems, Retrieval-Augmented Generation architectures, and relevant AI frameworks like OpenAI, Azure OpenAI, Hugging Face, LangChain.
Strong Python programming skills, experience with cloud platforms (Azure, AWS), MLOps/LLMOps practices, and knowledge of AI security, privacy, and Responsible AI controls.
Demonstrated expertise building and scaling AI and GenAI applications in a complex enterprise environment with cross-functional collaboration.
Strong background in state-of-the-art AI technologies including prompt engineering, agent orchestration, and semantic search frameworks.
Experience in financial services, fintech, payments, or pricing analytics domains is highly desirable but not mandatory.