Data Scientist - Senior Associate - Applied AI & Machine Learning
Core
Design and implement scalable architecture for LLM-powered investment tools, build AI applications and automated workflows, and create reliable data pipelines for enterprise and investment data.
Role type
Senior Applied AI & Machine Learning Engineer (Generative AI)
Builds
LLM-powered investment tools, AI applications, automated workflows, and data/knowledge pipelines
Domain
Finance, Investment Management, Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Statistics, Probability, LLM application development, Retrieval-Augmented Generation (RAG), Vector search, Prompt engineering, Financial market knowledge
Preferred skills
Buy-side investment experience, Time-series analysis, Knowledge graphs, Model fine-tuning, LLM observability platforms
Technologies
LangGraph, Semantic Kernel, LlamaIndex, OpenTelemetry, OpenInference, Arize Phoenix, LangSmith
Responsibilities
Design scalable architecture for LLM-powered investment tools; Build and scale AI applications with orchestration and human oversight; Develop context-management and RAG capabilities; Create reliable data and knowledge pipelines; Establish engineering standards for reusable tools; Implement evaluation and end-to-end observability for AI systems
Seniority
Senior, hands-on IC