Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level generative-AI Data Scientist in a metro with a known employer increases applicant competition.
Advanced generative AI skills transfer across industries, but financial-domain evaluation and compliance add sensitivity.
Explicit 3-5 years plus required NLP/Generative AI, cloud, and evaluation experience makes filters stringent.
Design and implement multi-agent AI workflows using frameworks like LangGraph, LangChain, or AgentCore for dynamic, goal-oriented financial applications.
Develop robust evaluation frameworks and datasets to validate generative AI outputs against performance and accuracy standards.
Collaborate with engineers and investment professionals to integrate AI models into production business workflows with rapid deployment and systematic testing.
3-5 years of experience in data science or machine learning with a focus on Natural Language Processing (NLP) and Generative AI.
Strong expertise in Python programming, cloud-native development, Docker, and CI/CD pipelines.
Experience or strong interest in LangGraph, LangChain, Copilot Studio, or AgentCore frameworks.
Workplace requires hybrid work model in Hyderabad office (minimum 3 days onsite per week).
Comfortable operating at the intersection of Data Engineering and Full Stack Development with agility to pivot based on rapid sprint feedback.
Able to build, test, and ship intelligent AI systems quickly, leveraging AI-assisted coding tools like GitHub Copilot.
Experienced in developing rigorous evaluation methods and creating 'gold-standard' datasets for model validation in regulated financial environments.