Back
Tier-1 brand, generalist AI title, metro hiring and attractive LLM scope raise candidate competition.
Core LLM, MLOps, and cloud skills are transferable, though payments domain experience is preferred.
Numerous mandatory specialized requirements (LLMs, MLOps, cloud, Responsible AI, production deployment) imply strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy scalable AI/ML, Generative AI, and Agentic AI solutions including LLM applications and RAG frameworks to improve business decision-making and operational efficiency.
Build backend services, APIs, and cloud-native AI/ML pipelines to operationalize AI solutions with focus on scalability, security, governance, and compliance.
Collaborate with global business, analytics, and technology teams to identify AI opportunities, drive adoption, and implement Responsible AI practices such as bias monitoring and AI safety guardrails.
Bachelor's or Master's degree in Computer Science, AI, ML, Engineering, Data Science, or related field.
Experience in designing and deploying AI, Generative AI, or ML production solutions, including LLM and Agentic AI systems.
Hands-on experience with GenAI frameworks (e.g., OpenAI, Azure OpenAI, Hugging Face, LangChain) and AI service architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to architect and operationalize enterprise-grade AI solutions that integrate with cloud platforms such as Azure, AWS, and Databricks.
Strong technical proficiency in Python, APIs, microservices, and MLOps/LLMOps including model deployment and lifecycle management.
Experience working within financial services, fintech, or payments domains and familiarity with responsible AI governance frameworks.