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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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