LGT Private Banking is a leading international private bank and independent family-owned business. Our thinking is long-term, and we strive to innovate. In recent years, we have grown strongly - in Europe and in Asia. To ensure we remain successful, one factor is crucial: digitalization. It is a key strategic priority in the coming years. We want to combine the best of the analog and digital worlds, in interdisciplinary and agile teams. Our goal: to create a truly personal customer experience thanks to state-of-the-art services.

Job Description

• Architect and implement scalable cloud-based solutions using Azure
• Architect, design, adapt, develop, and deploy machine learning models and processes for business process intelligence such as OCR, process and document intelligence
• Architect, develop, maintain and support graph based business cases together with our graph specialists
• Utilize full stack software engineering skills to integrate AI, ML and genAI solutions into our existing systems
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Conduct thorough business analysis to ensure that solutions align with business objectives
• Optimize machine learning models for performance and accuracy
• Stay up-to-date with the latest advancements in AI/ML, OCR, and cloud technologies
• Mentor junior engineers and provide technical leadership within the team

Requirements

• Advanced degree in Computer Science, Engineering, or a related field
• Multiple years of experience as full-stack software engineer, preferably using programming languages such as Python, Java, or C++
• Familiarity with machine learning frameworks
• Proven experience as a Machine Learning Engineer, with a focus on OCR and document analysis
• Experience with agile development methodologies
• Experience with business analysis and the ability to translate business requirements into technical solutions

Please note that we cannot consider applications via recruitment agencies for this position.

Contact Information

We are looking forward to receiving your online application.

For any further information please do not hesitate to contact us.

Human Resources