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Strong employer brand, metro location, mid-level ML title, and popular LLM skillset drive high competition.
Core generative AI skills transfer across industries, but finance compliance and domain data needs increase sensitivity.
Explicit 3-5 years plus mandatory NLP/generative AI, Python, cloud/Docker and CI/CD skills make shortlisting strict.
Design and implement multi-agent AI workflows and intelligent systems using frameworks like LangGraph, Cortex, and AgentCore to solve complex financial problems.
Develop robust evaluation frameworks and build datasets to validate generative AI model outputs for performance and accuracy.
Collaborate with software and full stack engineers to integrate AI models into business workflows, ensuring compliance and reliability in financial services.
3-5 years of experience in data science or machine learning with strong focus on NLP and Generative AI.
Proficiency in Python, cloud-native development, Docker, and CI/CD pipelines.
Experience or strong interest in LangGraph, LangChain, Copilot Studio, or AgentCore frameworks.
Full-time work model with hybrid schedule requiring in-office presence at least three days a week in Hyderabad.
Has cross-disciplinary skills bridging data science, data engineering, and full stack development to rapidly build and deploy AI systems.
Demonstrates strong hands-on expertise in creating evaluation metrics and datasets for validating AI and generative models.
Comfortable working in fast-paced agile environments with rapid sprint feedback and compliance requirements in financial services.