About the role
How to Apply: Apply through the Mastercard application link. Mastercard is hiring an AI Engineer to design, develop, and deploy AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG a… Subscribe to Premium to view the full description and apply.
Responsibilities
- Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, and RAG architectures.
- Develop and maintain scalable AI/ML pipelines and data preparation workflows.
- Build cloud-native integrations using Azure, Databricks, AWS, and related platforms.
- Integrate AI capabilities with APIs, databases, cloud services, and internal applications.
- Support deployment, testing, monitoring, and operational maintenance of AI/ML solutions.
- Apply MLOps and LLMOps best practices.
- Implement Responsible AI practices including bias detection, hallucination mitigation, explainability, and safety guardrails.
- Stay updated with emerging technologies in Generative AI, LLMs, Agentic AI, and cloud platforms.
Requirements
- Bachelor's degree in Computer Science, Data Science, AI/ML, or a related technical field.
- Hands-on experience developing and deploying AI applications.
- Experience with Python, Spark, or SQL.
- Basic understanding of LLMs, Generative AI, prompt engineering, and AI/ML workflows.
- Exposure to at least one cloud platform or AI ecosystem such as Azure, AWS, Databricks, Microsoft Fabric, or Microsoft Copilot.
- Familiarity with Docker or Kubernetes.
- Familiarity with APIs, data pipelines, ETL processes, or cloud-based integrations.
- Understanding of software development lifecycle and Git.
- Strong analytical, problem-solving, and communication skills.
Benefits
- Opportunity to work on Generative AI and Agentic AI solutions.
- Exposure to enterprise-scale AI/ML systems.
- Experience with cloud platforms including Azure, AWS, and Databricks.
- Exposure to MLOps and LLMOps practices.
- Opportunity to work on Responsible AI and AI governance.
Required Skills
Frequently Asked Questions
What is the salary for AI Engineer?
The listed salary for AI Engineer at Mastercard is ₹12-20 LPA.
Where is this AI Engineer role located?
This position is based in Pune, India (On-site).
What experience is required for AI Engineer?
Candidates are expected to have 0-2 years of experience for this role.
How do I apply for AI Engineer at Mastercard?
Use the Apply button on this HireDoor job page to submit your application for AI Engineer at Mastercard.
What are the key benefits for AI Engineer?
Key benefits include: Opportunity to work on Generative AI and Agentic AI solutions.; Exposure to enterprise-scale AI/ML systems.; Experience with cloud platforms including Azure, AWS, and Databricks.; Exposure to MLOps and LLMOps practices.; Opportunity to work on Responsible AI and AI governance..
Redirecting to sign up…