Join a team where start-up pace meets the scale of an international banking group. Deliver AI and machine-learning solutions end-to-end and bring them into production across our network banks.
Requirements
- Own use cases end-to-end: problem framing, build, deploy, monitor, iterate.
- Design and deliver both agentic AI solutions (LLM orchestration, RAG, tool integrations) and traditional ML models.
- Establish MLOps/LLMOps practices: experiment tracking, CI/CD, monitoring, cost management.
- Run rigorous evaluations: backtesting, A/B testing, drift detection, red teaming.
- Work with business partners across the bank to define requirements, explain trade-offs, and support adoption.
Benefits
- Flexible work week
- Global community
- Career growth
- Stay healthy
- Save money
- Family support