Associate, AI Data Scientist- Private Markets
Core
Build and scale enterprise-grade agentic AI systems and language models to transform complex private-markets information into dependable data and decision intelligence.
Role type
Associate, AI Data Scientist (Agentic Systems & LLMs)
Builds
Multi-agent LLM systems, model harnesses, and production AI capabilities for private-markets research and automation.
Domain
Private Markets / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Agentic system design, LLM application development, ModelOps, Python, open-source SLM/LLM evaluation, supervised/parameter-efficient fine-tuning, retrieval-augmented generation, workflow orchestration, systematic evaluation, data quality engineering, model routing and caching, production deployment.
Preferred skills
Experience with bounded iterative loops, reflection and critique patterns, planner-executor architectures, unstructured/multimodal data processing, responsible AI practices.
Technologies
Python, LLMs, SLMs, Open-source models, Retrieval services, APIs, Workflow orchestration tools, Experiment tracking systems.
Responsibilities
Design and implement agentic workflows with planning, retrieval, tool use, and verification; engineer model harnesses for state management and policy enforcement; manage the lifecycle of open-source models from benchmarking to retirement; build production-quality components integrating models with enterprise data; establish systematic evaluation harnesses for quality and reliability; partner with stakeholders to translate ambiguous domain needs into usable AI capabilities.
Seniority
Associate, hands-on IC