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Robert Walters

ML Engineer

Robert Walters
Switzerland · Full-time · Associate

Location: Zürich Work model: hybrid, 2 days on-site / 3 remote Keywords: AI Engineer, Applied Machine Learning, LLM, RAG, MLOps Our client, a financial services firm headquartered in Zürich, is creating a new Machine Learning Engineer role within a cross-disciplinary team. The unit develops AI applications for security, risk and back-office functions, handling sensitive data on-premise while advancing the firm’s adoption of AI across departments.

As a Machine Learning Engineer, you will be at the forefront of developing advanced ML solutions, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and scalable agentic workflows.

You Will

  • Build and optimise ML applications for production use
  • Prototype and evaluate novel ML methods
  • Scale model training on GPU clusters via Kubernetes
  • Implement AIops workflows for deployment, monitoring and optimisation
  • Maintain and improve internal AI infrastructure and tools

You Bring

  • 3+ years of experience deploying ML systems in production
  • Expert Python skills in a Linux environment
  • Strong knowledge of Kubernetes, DevOps and GPU-based training
  • Proven experience with LLMs, RAG pipelines and ML deployment
  • Familiarity with frameworks such as PyTorch, Hugging Face or LangChain
  • Exposure to UI frameworks such as Streamlit, Gradio or FastAPI
  • Academic background in Machine Learning, Computer Science or a related field
  • Contributions to open-source LLMs, academic research or personal ML projects are highly valued

Our client offers the opportunity to work on cutting-edge AI and ML initiatives within a highly regulated financial environment. You will gain access to large-scale GPU infrastructure, collaborate with domain experts across functions, and play a direct role in shaping the firm’s AI strategy.

If you are interested, we would like to hear from your. Please apply.

Key Skills

Ranked by relevance

ai machine learning kubernetes streamlit pytorch python devops linux mlops ui
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Posted
Oct 14, 2025
Type
Full-time
Level
Associate
Location
Zurich

Industries

Staffing Recruiting

Categories

Engineering Information Technology

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