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 optimized AI workflows for production use cases
Domain
Wealth management / Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Python, TensorFlow, Pytorch, Large Language Models (LLMs), AI agents & agentic workflows, LLM orchestration, data pre-processing, feature engineering, model evaluation, statistical concepts, software development best practices
Preferred skills
None stated
Technologies
TensorFlow, Pytorch
Responsibilities
Develop and optimize machine learning and AI solutions; Create multi-agent systems with function/tool-calling capabilities; Design and implement RAG systems; Assess and integrate AI models; Optimize agentic workflows; Test and optimize system prompts; Evaluate model performance; Collaborate with platform teams and data engineers; Participate in code reviews and debugging
Seniority
Mid-level, hands-on IC