Machine Learning Engineer 100% (f/m/d)
Core
Design, build, and maintain robust, scalable AI solutions and multi-agent systems for wealth management challenges.
Role type
Machine Learning Engineer (LLM & Agentic Workflows)
Builds
Production-ready AI agents, RAG systems, and optimized agentic workflows for enterprise data.
Domain
Financial Services / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch, Large Language Models (LLMs), RAG systems, agentic workflows, LLM orchestration, data preprocessing, feature engineering, model evaluation, statistical concepts, software development best practices
Preferred skills
Experience with multi-agent systems, function/tool-calling capabilities, system prompt optimization, few-shot learning techniques
Technologies
Python, 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 (e.g., LLMs); Optimize agentic workflows; Test and optimize system prompts and few-shot examples; Evaluate model performance using appropriate metrics; Collaborate with platform teams and data engineers to integrate solutions.
Seniority
Mid-Senior, hands-on IC