Applied Machine Learning Scientist II
Core
Design, develop, and deploy Generative AI and predictive machine learning solutions for customer assistance, claims, underwriting, and risk assessment.
Role type
Senior Applied Machine Learning Scientist (Generative AI & LLMs)
Builds
Production Generative AI systems, agentic workflows, and predictive ML models for banking operations
Domain
Financial Services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, Generative AI, LLMs, agentic AI systems, agent orchestration (LangGraph), model evaluation, feature engineering, SQL, Azure Cloud, Azure ML Services, Databricks
Preferred skills
Graduate degree, experience with vendor model evaluation, Responsible AI principles
Technologies
LangGraph, Azure ML, Databricks, vector stores, enterprise APIs
Responsibilities
Develop and maintain GenAI and predictive ML solutions; Lead lifecycle management of internal and third-party AI solutions; Assess vendor-provided AI models; Translate business problems into analytical frameworks; Conduct rigorous model evaluation and monitoring; Communicate technical results to stakeholders
Seniority
Senior, hands-on IC
