Machine Learning Engineer
Core
Design, build, and maintain robust, scalable AI solutions and multi-agent systems within a DevOps environment for wealth management.
Role type
Machine Learning Engineer (AI/LLM focus)
Builds
Multi-agent systems, RAG systems, and production-ready AI models
Domain
Financial Services / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, TensorFlow, Pytorch, Large Language Models (LLMs), AI agents, agentic workflows, LLM orchestration, RAG systems, data preprocessing, feature engineering, model evaluation
Preferred skills
Statistical concepts, linear algebra, optimization, software development best practices
Technologies
TensorFlow, PyTorch
Responsibilities
Develop and optimize ML/AI solutions, create multi-agent systems with function/tool-calling, design RAG systems, assess and integrate LLMs, optimize agentic workflows, test and optimize system prompts, evaluate model performance, collaborate with platform teams and data engineers, participate in code reviews and debugging
