AI Engineer

Mastercard
Pune
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Leadership","Problem-solving","Team","Stakeholder management"]

Lead engineering for Mastercard's Gen AI and ML initiatives within the Operational Intelligence Program. You will architect multi-agent AI systems, design multimodal AI pipelines, build production-grade RAG/Graph-RAG solutions, lead LLM fine-tuning and MLOps, and develop high-performance Python backends to enable scalable, secure AI delivery across enterprise-scale use cases.

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FursaFursa
Mastercard
Mastercard
4 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead engineering for Mastercard's Gen AI and ML initiatives within the Operational Intelligence Program. You will architect multi-agent AI systems, design multimodal AI pipelines, build production-grade RAG/Graph-RAG solutions, lead LLM fine-tuning and MLOps, and develop high-performance Python backends to enable scalable, secure AI delivery across enterprise-scale use cases.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Architect and lead the development of multi-agent AI systems using LangGraph, CrewAI, and AutoGen for enterprise-scale autonomous reasoning and coordination.
  • •Design and operationalize multimodal generative AI pipelines unifying text, image, tabular, and graph data with transformer architectures.
  • •Build production-grade RAG and Graph-RAG systems with vector databases and knowledge graphs for semantic retrieval and grounded generation.
  • •Lead LLM fine-tuning, prompt engineering, and model alignment (RLHF, PEFT, LoRA, instruction tuning) for specialized enterprise use cases.
  • •Establish robust LLMOps and MLOps pipelines on Databricks (AWS) with MLflow, feature stores, evaluation frameworks, and continuous retraining workflows.

Key Requirements

  • •Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering.
  • •Hands-on experience designing, building, and deploying large language model (LLM) applications, agentic systems, and RAG pipelines in production.
  • •Proficiency with ML fundamentals (predictive modeling, deep learning) and experience with PyTorch or TensorFlow.
  • •Excellent Python engineering skills including async programming, API development (FastAPI), and building inference-ready microservices; SQL proficiency.
  • •Hands-on experience with cloud AI infrastructure (AWS SageMaker/Bedrock, Azure OpenAI, or GCP Vertex AI) and familiarity with MLOps/LLMOps tools (MLflow, Weights & Biases).
Experience:AI/MLGen AILLMRAGMultimodalProduction
Education:Master's
Skills:CommunicationLeadershipProblem-solvingTeamStakeholder management
Languages:English
Tech Stack:LangGraphLangChainCrewAIAutoGenBERTCLIPLLaVAT5WhisperGPT-4oGeminiPineconePgvectorOpenSearchNeo4jAWS NeptuneRLHFPEFTLoRADatabricks

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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