Mastercard's Business & Market Insights (B&MI) group is looking for a Lead Engineer, Generative AI & ML Engineering to lead a team of Gen AI engineers to architect and deliver next-generation LLM, agentic, and multimodal AI systems.

Company: Mastercard

Role: AI Engineer

Location: Pune, India, 411006

Experience:

Significant hands-on experience leading and delivering complex Gen AI or ML engineering programs in production environments
Expert-level, hands-on experience designing, building, and deploying large language model (LLM) applications, agentic systems, and RAG pipelines — from prototype to production

Qualification:

Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering

Role Focus: • Architect and lead the development of multi-agent AI systems • Design and operationalize multimodal generative AI pipelines • Build production-grade RAG and Graph-RAG systems • Lead LLM fine-tuning, prompt engineering, and model alignment strategies • Establish robust LLMOps and MLOps pipelines • Develop high-performance Python backend services • Engineer state, memory, and context management subsystems • Implement Responsible AI and AI governance practices • Apply traditional ML and statistical modeling in hybrid architectures

More skills:

T5, Whisper, Pinecone, pgvector, OpenSearch, Neo4j, AWS Neptune, Databricks, MLflow, FastAPI, LangChain/LangGraph, LLaMA, Falcon, PyTorch, TensorFlow, SQL, AWS SageMaker, Bedrock, GCP Vertex AI, MLflow, Weights & Biases

Other:

Strong analytical, communication, and stakeholder management skills
Ability to translate complex Gen AI concepts into business value and lead cross-functional teams toward delivery
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

Company: Mastercard

Role: AI Engineer

Location: Pune, India, 411006

Experience:

Significant hands-on experience leading and delivering complex Gen AI or ML engineering programs in production environments
Expert-level, hands-on experience designing, building, and deploying large language model (LLM) applications, agentic systems, and RAG pipelines — from prototype to production

Qualification:

Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering

More skills:

Other:

Strong analytical, communication, and stakeholder management skills
Ability to translate complex Gen AI concepts into business value and lead cross-functional teams toward delivery
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

AI Engineer

Skills Required

Description

Experience:

Qualification:

More skills:

Other:

Prepare for this role

AI Engineer

Skills Required

Description

Experience:

Qualification:

More skills:

Other:

Prepare for this role

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