About this role
Join Julius Baer in Singapore as a Machine Learning Engineer to design, build, and maintain scalable ML and AI solutions in a DevOps environment, working across the full lifecycle and collaborating with cross-functional teams. Responsibilities include developing multi-agent systems, implementing RAG, integrating and assessing LLMs, optimizing agentic workflows, and testing/optimizing prompts and models.
Skills for this role
PythonTensorFlowPyTorchLarge Language Models (LLMs)AI agentsAgentic workflowsLLM orchestration frameworksFunction/tool-callingRetrieval-Augmented Generation (RAG)Prompt engineeringFew-shot learningMulti-agent systemsMachine learning librariesDeep learning frameworksData pre-processingFeature engineeringModel selectionModel evaluationEvaluation metricsPerformance evaluationProbabilityLinear algebraOptimizationVersion controlTestingCode reviewDebuggingDevOps