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Tier-1 brand, mid-level AI role, metro location and broad GenAI skillset increases candidate competition.
Deep GenAI and MLOps focus makes cross-industry fit moderately sensitive, fintech experience preferred.
Extensive GenAI, LLM, cloud and MLOps requirements create high technical filtering.
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Design, develop, and deploy scalable AI, Generative AI, LLM, Agentic AI, and RAG solutions to address complex business challenges and operational efficiency within Mastercard's Global Pricing & Interchange team.
Build and maintain backend services, APIs, and AI/ML pipelines using cloud technologies while implementing MLOps/LLMOps for deployment, monitoring, and lifecycle management.
Collaborate with global business, analytics, and technology stakeholders to identify AI opportunities, ensure security and governance compliance, and drive enterprise AI adoption.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Engineering, Data Science or related technical field.
Experience designing, developing, and deploying AI, Generative AI, or ML solutions in production environments.
Proficiency with GenAI frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain), Python programming, and cloud platforms such as Azure, AWS, or Databricks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and deploying enterprise-grade AI solutions including LLM applications, Agentic AI, and RAG architectures at scale in cloud-native environments.
Strong understanding of Responsible AI principles including bias monitoring, explainability, and AI safety controls within highly regulated contexts.
Skilled at translating complex AI concepts to diverse stakeholders and thriving in cross-functional, fast-paced fintech or payments environments.