Mastercard

AI Engineer

Mastercard
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21 hours ago
Pune, IndiaStaff+
H1B Sponsor

Responsibilities

  • Lead an ML engineering team and execute the AI/ML strategy for the Operational Intelligence program.
  • Implement multi-agent intelligence frameworks for reasoning, coordination, and adaptive decision-making.
  • Design and operationalize multimodal AI pipelines using text, image, tabular, and graph data.
  • Build scalable RAG and Graph-RAG systems using vector stores and knowledge graphs.
  • Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction.
  • Build Python backend services for inference orchestration, asynchronous job handling, and distributed data workflows.
  • Establish LLMOps and MLOps pipelines with model lineage, feature stores, prompt evaluation, and continuous retraining.
  • Apply statistical modeling, deep learning, explainability, and responsible AI practices.
  • Research, benchmark, and productionize innovations in multimodal transformers, generative modeling, and agentic orchestration.
  • Drive engineering best practices, innovation, stakeholder management, and a culture of technical excellence.

Requirements

  • Bachelor’s or master’s degree in computer science or engineering.
  • Considerable work experience with a proven record of leading complex projects or products and delivering against aggressive market needs.
  • Expert-level hands-on experience designing, building, and deploying conventional AI/ML and LLM/agentic solutions.
  • Applied knowledge of advanced statistical techniques, predictive modeling, machine learning algorithms, generative AI, and deep learning frameworks.
  • Hands-on experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar.
  • Strong programming skills in Python and SQL.
  • Strong analytical, problem-solving, and technology adaptation skills.
  • Experience with Tableau or Power BI is a plus.
  • Understanding of AWS, Azure, or GCP services for data processing and storage is a plus.

Tech Stack

AWSAzureDatabricksGoogle Cloud PlatformMLflowNeo4jPythonPyTorchSQLTensorFlow
Mastercard

About Mastercard

10,000+ employees

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

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