University Graduate – Machine Learning Engineer 100% (f/m/d)
Core
18-month graduate program for recent master's graduates to develop AI/ML solutions for wealth management, covering the full lifecycle from ideation to production deployment.
Role type
Graduate Machine Learning Engineer
Builds
Production-ready AI/ML models, analytics pipelines, and MLOps infrastructure for wealth management
Domain
Wealth management / Banking
Deliverable
production ML models
Required skills
Machine learning, Data science, Statistics, Mathematics, Python, SQL, Model deployment, MLOps, Data visualization, Regulatory compliance
Preferred skills
Financial industry experience, Banking products knowledge, Natural language processing, Predictive analytics, Personalization techniques
Technologies
GPU clusters, Modern data infrastructure, Julius Baer technology stack
Responsibilities
Develop and validate AI/ML models for client experience and operational efficiency, Analyze large financial datasets to improve model performance, Collaborate with stakeholders to translate requirements into production solutions, Participate in model deployment, monitoring, and ongoing operations, Support model risk management through documentation and testing, Foster a data-driven culture by sharing knowledge and best practices
Seniority
Graduate (Entry-level)