Machine Learning Engineer Intern 100% (f/m/d)
Core
Support the design, development, and deployment of AI solutions and multi-agent systems within a DevOps environment for wealth management.
Role type
Machine Learning Engineer Intern
Builds
AI solutions, multi-agent systems, RAG systems, and LLM integrations
Domain
Wealth management / Artificial Intelligence
Deliverable
production ML models
Required skills
Python programming, machine learning libraries (TensorFlow, PyTorch), Large Language Models (LLMs), AI agents, LLM orchestration, prompting techniques, data preprocessing, feature engineering, model evaluation, version control (Git), testing, documentation
Preferred skills
Previous internship or academic project experience in machine learning or data science
Technologies
TensorFlow, PyTorch, Git
Responsibilities
Support development and optimization of ML/AI solutions, build and experiment with multi-agent systems, contribute to RAG system design, evaluate and integrate AI models, optimize AI agents and workflows, test and refine system prompts, evaluate ML models using metrics, collaborate with platform teams and data engineers, participate in code reviews and debugging
Seniority
Intern (final-year or Master's student)