AI/ML Engineer — LLMs, Agents & Production Systems

Julius Baer; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

Julius Baer in Zürich is seeking a skilled Machine Learning Engineer to join the ML & AI ART squads. You will design, build and maintain scalable AI solutions in a DevOps environment, contributing across the full lifecycle from concept to deployment.

Collaborate with platform engineers, data scientists and product teams to integrate ML models, implement RAG/LLM capabilities, and ensure high reliability and performance in production systems.

Qualifikationen

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related field.
• Strong Python programming with ML libraries (TensorFlow or PyTorch).
• Experience with Large Language Models (LLMs).
• Knowledge of AI agents, agentic workflows, LLM orchestration frameworks and reasoning patterns.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Strong problem-solving and debugging skills.
• Familiarity with version control, testing, and documentation.
• Relevant work experience in ML or data science or related field.

Aufgaben

• Develop, deploy, and optimize ML/AI solutions addressing complex business challenges.
• Create multi-agent systems and equip AI models with function/tool-calling capabilities.
• Design and implement RAG systems to ground AI responses in enterprise data.
• Assess and integrate AI models (e.g. LLMs) for performance and reliability.
• Optimize agentic workflows and AI agents for production use cases.
• Test and optimize system prompts and few-shot examples for accurate, consistent, safe AI outputs.
• Evaluate ML/AI models using appropriate metrics and iterate to improve.
• Collaborate with platform teams, data engineers, data scientists, and stakeholders to integrate ML into existing systems.
• Participate in code reviews, testing, and debugging to ensure quality and reliability.

Kenntnisse

Problem solving

Analytical thinking

Communication

Collaboration

Time management

Continuous learning

Attention to detail

Debugging

Adaptability

Teamwork

Ausbildung

Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related field

Tools

Python

TensorFlow

PyTorch

Jobbeschreibung

Julius Baer in Zürich is seeking a skilled Machine Learning Engineer to join the ML & AI ART squads. You will design, build and maintain scalable AI solutions in a DevOps environment, contributing across the full lifecycle from concept to deployment.

Collaborate with platform engineers, data scientists and product teams to integrate ML models, implement RAG/LLM capabilities, and ensure high reliability and performance in production systems.