Machine Learning Engineer II
Core
Building agentic AI systems for financial data, including report generation, deep research workflows, and novel user journeys using structured and unstructured data.
Role type
Mid-level Machine Learning Engineer (Agentic AI & NLP)
Builds
Intelligent agent frameworks, retrieval methods, and scalable systems connecting financial data to actionable insights.
Domain
Financial services, Generative AI, Agentic Systems
Deliverable
production ML models | product features
Required skills
Python, Machine Learning lifecycle management, NLP, Information Retrieval, Agent Orchestration, LLM evaluation
Preferred skills
LangGraph, pydanticAI, Deep Research, Semantic Search, RAG systems
Technologies
LangGraph, Transformers, HuggingFace, LightGBM, PyTorch, SKLearn, XGBoost, Apache Spark, AWS Athena, Postgres/Pgvector, Arize, Airflow, Ray, vLLM, FastAPI
Responsibilities
Solve challenges in agentic design and LLM orchestration (context engineering, memory management); Participate in full ML lifecycle from experimentation to production; Leverage proprietary datasets to build solutions; Collaborate with Data, Product, and Engineering teams to design Agents; Work with MLOps team to automate ML systems lifecycle.
Seniority
Mid-level, hands-on IC