AI Engineer
Skills
About the role
This is an AI Engineer role for developing and operating AI and generative AI solutions in Pune, India. You'll work on LLM applications, agentic AI, RAG architectures, cloud integrations, and AI/ML pipelines for Mastercard's analytics and automation initiatives. The role suits an early-career engineer with a bachelor's degree and practical production AI experience.
What you’ll do
- Design and implement AI and generative AI solutions.
- Build AI/ML pipelines and data-preparation workflows.
- Integrate AI capabilities with APIs, databases, cloud services, and internal applications.
- Support deployment, testing, monitoring, and operational maintenance.
- Apply responsible AI controls for bias, hallucinations, explainability, safety, and compliance.
- Track developments in generative AI, LLMs, agentic AI, and cloud platforms.
What they’re looking for
- A bachelor's degree in computer science, data science, AI/ML, or a related technical field.
- Hands-on experience developing and deploying production AI applications.
- Experience with Python, Spark, or SQL.
- Basic understanding of LLMs, generative AI, prompt engineering, and AI/ML workflows.
- Exposure to Azure, AWS, Databricks, Microsoft Fabric, or Microsoft Copilot technologies.
- Familiarity with Docker or Kubernetes, APIs, data pipelines, ETL, and cloud integrations.
- Knowledge of software delivery processes and Git.
- Strong analytical, problem-solving, and communication skills.
- Ability to follow Mastercard information-security policies and training requirements.
Nice to have
- Exposure to vector databases or orchestration frameworks such as LangChain.
- Experience with cloud-native AI ecosystems.
What’s on offer
- Full-time employment in Pune, India.
- The role is onsite.
- The work supports Mastercard's Global Business Services Center Analytics and Automation team.
Questions about this role
Where is the job located?
The role is onsite in Pune, India.
What degree is required?
The preferred qualifications specify a bachelor's degree in computer science, data science, AI/ML, or a related technical field.
Which technologies are mentioned?
Python, Spark, SQL, Azure, AWS, Databricks, Microsoft Fabric, Microsoft Copilot, Docker, Kubernetes, APIs, and ETL are mentioned.
Does the role involve responsible AI?
Yes. The role includes bias detection, hallucination mitigation, explainability, safety guardrails, and AI governance.
How this role compares
One of 17 open AI Engineer roles we are tracking today.
This posting does not state pay. The middle of the 9 that do advertises ₹3,000,000 – ₹3,500,000 a year.
Posted 9 days ago, with 14 of the others posted since and 2 still open from before.
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