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Mastercard
Engineeringđź’Ľ FullTime

AI Engineer at Mastercard

Mastercard
•14 days ago
Location

US

Salary

Competitive

Apply By

ASAP

Views

38

Eligible Batches

🎓 2026 Batch🎓 2024 Batch🎓 2025 Batch

Job Description

Join Mastercard and revolutionize the AI industry with our cutting-edge projects. Develop intelligent models and drive innovation.

Roles & Responsibilities

Design and develop AI models using machine learning algorithms and deep learning techniques. Collaborate with data scientists and engineers to integrate AI models into our existing systems. Develop and implement AI-powered solutions for improved business outcomes.

Requirements

Strong programming skills in Python and experience with AI frameworks such as TensorFlow and PyTorch. Solid understanding of machine learning concepts and deep learning architectures. Experience with data preprocessing and visualization tools such as pandas and Matplotlib.

Nice to Have

Experience with Large Language Models, Agentic AI systems, and Retrieval-Augmented Generation (RAG) frameworks

Eligibility Criteria

B.Tech/B.E. 2024/2025/2026 Batch.

Tech Stack & Ecosystem

PythonTensorFlowPyTorchMachine LearningDeep Learning

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Quick Info

TypeFullTime
RoleSDE
Work Mode🏢 On-site
Eligible Batches
202620242025

Tech Stack

PythonTensorFlowPyTorchMachine LearningDeep Learning

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Career Advice

Company Insights

At Mastercard, you'll be part of a global community that's working to create a more connected, inclusive world. As an AI Engineer, you'll have the opportunity to work on innovative projects that are driven by our values of transparency, innovation and responsibility. Our cutting-edge technology and forward-thinking approach will provide you with the perfect platform to hone your skills and take your career to the next level. Furthermore, our commitment to diversity and inclusion will ensure that you're part of a diverse community that's passionate about making a difference. Whether you're looking to work on exciting projects, learn from talented professionals, or simply be part of an organization that makes a positive impact, Mastercard is the perfect place to start your career.

Interview Guide

When preparing for an interview for this role, make sure to focus on showcasing your technical skills in AI and machine learning. Practice explaining complex concepts in a simple and concise manner, as you'll need to communicate effectively with non-technical stakeholders. Additionally, research our products and services and come prepared with questions about how you can contribute to their development. It's also essential to review our case studies and be prepared to provide examples of your experience with AI frameworks and data preprocessing tools. Finally, be ready to walk us through your thought process and problem-solving skills during the coding challenge or technical interviews, demonstrating how you approach complex problems and come up with innovative solutions.