AI Engineer

Overview

AI Engineer role in Mastercard’s Business & Market Insights (B&MI) Operational Intelligence Program, leading ML engineering execution for an AI/ML strategy.

What you'll do

• Implement multi-agent intelligence frameworks (LangGraph, CrewAI, AutoGen).
• Design and operationalize multi-modal AI pipelines for 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 using Hugging Face, PyTorch, and TensorFlow.
• Implement Python backend services for inference orchestration, async jobs, and distributed workflows.
• Establish end-to-end LLMOps/MLOps pipelines on Databricks integrating MLflow, feature stores, lineage, and retraining.

What you'll need

• Master’s or bachelor’s degree in computer science or engineering.
• Experience leading and managing complex projects/products and delivering to aggressive market needs.
• Expert-level hands-on experience designing, building, and deploying AI/ML and LLM/agentic solutions.
• Applied knowledge of advanced statistical techniques, predictive modeling, and deep learning frameworks.
• Strong programming skills in Python/SQL.
• Experience with AI/ML platforms such as TensorFlow or PyTorch (or similar).

Details

• Location: Pune, India.