Beschreibung
Location: Zurich, Switzerland (On-site Monday-Thursday)
Start Date: April 1st (latest)
Project Length: 5-6 months
Key Requirements:
Technical Expertise:
• Strong Python skills
• Transformers (Hugging Face, GPT, Llama, Claude, Tropic AI, APIs, etc.)
• Databricks – MUST HAVE concrete deployment experience
• End-to-end AI model development & deployment (not just PoCs)
• Relational databases – MUST KNOW
• Containerisation & Modern IT infrastructure (not just theoretical)
• Understanding of DevOps & IT environments
Business & Stakeholder Management:
• Ability to sell AI concepts to senior stakeholders
• Experience in data governance, compliance, risk
• Can explain why a model makes sense in a business context
• Strong model validation understanding
• Must be able to work independently (no micromanagement)
Industry Experience:
• Financial services expertise is crucial (retail banking, wealth management, general banking)
• Enterprise AI production deployment experience (not just academic)
Soft Skills & Work Environment:
• Must be resilient, performance-driven, and straight-talking
• Works well with a highly quantitative, non-social, geeky team
• Comfortable working (big enterprise experience, high expectations)
Start Date: April 1st (latest)
Project Length: 5-6 months
Key Requirements:
Technical Expertise:
• Strong Python skills
• Transformers (Hugging Face, GPT, Llama, Claude, Tropic AI, APIs, etc.)
• Databricks – MUST HAVE concrete deployment experience
• End-to-end AI model development & deployment (not just PoCs)
• Relational databases – MUST KNOW
• Containerisation & Modern IT infrastructure (not just theoretical)
• Understanding of DevOps & IT environments
Business & Stakeholder Management:
• Ability to sell AI concepts to senior stakeholders
• Experience in data governance, compliance, risk
• Can explain why a model makes sense in a business context
• Strong model validation understanding
• Must be able to work independently (no micromanagement)
Industry Experience:
• Financial services expertise is crucial (retail banking, wealth management, general banking)
• Enterprise AI production deployment experience (not just academic)
Soft Skills & Work Environment:
• Must be resilient, performance-driven, and straight-talking
• Works well with a highly quantitative, non-social, geeky team
• Comfortable working (big enterprise experience, high expectations)