AI Engineer

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AI Engineer

Mastercard

Pune

3-5 years

Today

$25.3K–38.6K/yr

Full-time

Onsite

Skills Required

LLM

Gen AI

Agentic AI

RAG

LangChain

Vector Database

Prompt Engineering

Python

Apache Spark

SQL

Azure

Databricks

AWS

Description

Mastercard powers economies and empowers people worldwide by providing secure, simple, and accessible digital payment solutions. The Global Business Services Center Analytics and Automation team focuses on leveraging data and innovative technologies to drive business insights and operational efficiency.

Company: Mastercard

Role: AI Engineer

Experience

• Hands-on experience in developing and successfully deploying production-level AI applications
  
  

Qualification

• Bachelor's degree in Computer Science
• Bachelor's degree in Data Science
• Bachelor's degree in AI/ML
• Bachelor's degree in a related technical field
  
  

Responsibilities

• Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms
• Develop and maintain scalable AI/ML pipelines, data preparation workflows, and cloud-native integrations
• Assist in integrating AI capabilities with APIs, databases, cloud services, and internal applications
• Support deployment, testing, monitoring, and operational maintenance of AI/ML solutions following MLOps and LLMOps best practices
• Implement Responsible AI and AI governance practices including bias detection, hallucination mitigation, explainability dashboards, output safety guardrails, and compliance with data ethics standards
• Stay updated on emerging trends and technologies related to Generative AI, LLMs, Agentic AI and cloud platforms
  
  

Additional Responsibilities

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

Nice To Have

• Exposure to Microsoft Fabric or Microsoft Copilot technologies
• Familiarity with containerization technologies such as Docker or Kubernetes
• Exposure to AI/ML frameworks, vector databases, or orchestration frameworks such as LangChain or similar technologies
• Strong analytical, problem-solving, and communication skills
• Eagerness to learn emerging AI technologies and work in a fast-evolving AI engineering environment
  
  

More Skills

AI, Agentic AI frameworks, AI/ML workflows, Containerization, Docker, Kubernetes, APIs, Data pipelines, ETL processes, AI/ML frameworks, Orchestration frameworks, Software development lifecycle, Version control, Git

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