ML Engineer
Robert WaltersSwitzerland10 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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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
If you are interested, we would like to hear from your. Please apply.
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
- 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
If you are interested, we would like to hear from your. Please apply.
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