New opportunity

Machine Learning Engineer

Julius Baer · Singapore

About this role

Design, build, and maintain robust, scalable machine learning and AI solutions within a DevOps environment, contributing across the full lifecycle from concept to deployment. Responsibilities include creating multi-agent systems, implementing RAG systems, assessing and integrating LLMs, optimizing agentic workflows, and testing prompts and few-shot examples.

Skills for this role

PythonTensorFlowPyTorchLarge Language Models (LLMs)RAGMulti-agent systemsFunction/tool-callingLLM orchestration frameworksAgentic workflowsPrompt engineeringFew-shot learningData pre-processingFeature engineeringModel selectionModel evaluationProbabilityLinear algebraOptimizationVersion controlSoftware testingDocumentationDevOpsCode reviewDebuggingMachine learning libraries