Mastercard AI Engineer Hiring 2026 | Generative AI & Machine Learning Jobs in Pune



Mastercard is inviting applications for the position of AI Engineer in Pune. This is an exciting opportunity for professionals passionate about Generative AI, Machine Learning, and Large Language Models (LLMs). The selected candidates will work on enterprise-scale AI solutions that power intelligent business insights for customers across the globe.


About Mastercard


Mastercard is one of the world's leading technology companies in digital payments, operating in more than 200 countries and territories. The company combines innovation, AI, data, and secure payment technologies to build solutions that simplify and enhance global commerce. Employees at Mastercard get the opportunity to work on impactful technologies while collaborating with world-class engineering teams.


Job Details


Company:

Mastercard


Role:

AI Engineer


Location:

Pune, India


Department:

AI & Data


Job Type:

Full-Time


Job ID:

R-277214


Why This Opportunity?


This role offers the chance to build production-ready Generative AI applications used by enterprise customers worldwide. You'll design intelligent AI systems, work with the latest LLM technologies, and contribute to innovative products that solve real-world business challenges.


Key Responsibilities


• Design and build enterprise AI applications using Large Language Models (LLMs)


• Develop AI Agents and multi-agent workflows


• Build Retrieval-Augmented Generation (RAG) solutions


• Design multimodal AI systems using text, image, and structured data


• Develop scalable Python backend services


• Implement Prompt Engineering and AI optimization techniques


• Build LLMOps and MLOps pipelines


• Ensure Responsible AI, security, and governance standards


• Collaborate with global engineering and product teams


Required Skills


• Python


• Generative AI


• Machine Learning


• Deep Learning


• Large Language Models (LLMs)


• Prompt Engineering


• LangChain / LangGraph


• Retrieval-Augmented Generation (RAG)


• FastAPI


• SQL


• Vector Databases


• AWS / Azure / GCP


• MLflow


• Git


Eligibility


Candidates should possess a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related discipline.


Applicants should have strong hands-on experience with Python, AI development, and modern Generative AI technologies.


Why Join Mastercard?


• Work on cutting-edge AI products


• Exposure to enterprise-scale Generative AI projects


• Collaborate with global engineering teams


• Excellent learning and career growth opportunities


• Competitive compensation and benefits


• Opportunity to work with modern AI technologies and frameworks


Selection Process


The interview process may include:


• Application Screening


• Technical Assessment


• Technical Interview(s)


• Hiring Manager Discussion


• HR Discussion


Note: Interview rounds may vary depending on the role, hiring team, and business requirements.


How to Apply


Interested candidates can apply through the official Mastercard Careers portal before the position closes  Apply Now.


Conclusion


If you're passionate about Artificial Intelligence, Machine Learning, and Large Language Models, Mastercard's AI Engineer opportunity is an excellent chance to work on enterprise-grade AI systems that create real business impact. Apply as early as possible to maximize your chances of getting shortlisted.


Follow @softwarejobsdaily for daily AI, Software Development, Data Science, and IT job updates.


Disclaimer

Software Jobs Daily shares job opportunities from official company sources. We are not involved in the hiring process. Candidates are advised to verify all details through the official company website before applying.

Comments

Popular posts from this blog

Hiring Alert: Frontend Developer (React.js / Next.js) at EquinoxSphere Technologies

Soranova Technologies hiring Software Developers

APEX I SOFT Technologies Hiring Software Testers 2026 | Freshers | Bangalore | Salary Up to ₹6.5 LPA