AI engineer II

AI engineer II

The CNPF Data & AI organisation is looking for an AI Engineer II to support the build and operation of applied AI solutions. This role is ideal for someone early in their AI engineering career who has moved beyond junior‑level work and is ready to take on independent delivery ownership with guidance from senior engineers. You will work closely with AI engineers, data scientists, and software engineers to build, deploy, and operate production AI systems. The focus of this role is execution: writing quality code, shipping features, and learning how to build reliable, scalable AI systems in a real production environment.

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• Build and maintain AI and ML‑enabled services under guidance from senior engineers
  
• Support deployment and operation of ML models in production environments
  
• Participate in data preparation, feature engineering, and experimentation workflows
  
• Contribute to ML pipelines, inference services, and batch or real‑time data flows
  
• Debug, monitor, and improve existing AI systems to ensure reliability and performance
  
• Collaborate with data scientists to translate models into working production solutions
  
• Follow engineering best practices for testing, documentation, and version control
  
• Learn and apply Mastercard standards for security, governance, and responsible AI
  

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• Experience working as an AI engineer, ML engineer, or software engineer on data‑ or ML‑driven systems
  
• Working knowledge of Python and common data and ML libraries
  
• Basic understanding of how ML models move from development into production
  
• Familiarity with data pipelines, APIs, and foundational distributed systems concepts
  
• Comfortable working with guidance on ambiguous problems and learning through delivery
  
• Strong interest in growing technical depth in AI engineering and ML operations
  
• Clear written and verbal communication skills and a collaborative mindset
  

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• Exposure to real production AI or ML systems rather than only academic or demo work
  
• Experience supporting model deployment, monitoring, or inference services
  
• Curiosity about agentic or LLM‑based systems, even if experience is still early
  
• Strong ownership mindset and willingness to learn from production challenges
  
• Solid engineering fundamentals and eagerness to grow into senior AI engineering roles
  

Every person working for, or on behalf of, Mastercard is responsible for information security. xcfaprz All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and must:

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• 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
  
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.